10 Scientific Operations jobs in the United Kingdom

Research Management System (RMS) Implementation Specialist, EMEA - Financial Solutions





Location





London





Business Area





Sales and Client Service





Ref #










**Description & Requirements**



The Bloomberg Financial Solutions department of 5,000+ employees is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: Sales, Service, Operations, Culture and Brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.



**Bloombergu2019s Research Management System (RMS)** is a fully integrated Buy-Side solution that empowers clients to manage investment research efficiently, compliantly, and collaboratively. Leveraging AI and Natural Language Processing (NLP), RMS enables clients to uncover insights across one of the worldu2019s largest libraries of broker research, company filings, transcripts, and internal notes. With seamless integration into Microsoft Officeu00ae, structured publishing workflows, and real-time collaboration tools, RMS centralizes qualitative and quantitative research, supports ESG engagement tracking, and connects to Bloomberg Query Language (BQL) for powerful analytics.



Our goal is to provide the most scalable research platform in the market u2014 one that helps clients generate actionable ideas, manage compliance risk, and collaborate more effectively across the investment lifecycle.



**What is the role?**



The RMS Implementation Specialist plays a vital role in ensuring successful client engagements by combining deep product expertise with buy-side industry knowledge. You will partner with clients to analyze research workflows, configure RMS, deliver training, and ensure smooth integrations with portfolio management, compliance, and operational systems.



Unlike a generalist project manager, the Implementation Specialist is a hands-on product expert, guiding clients in how to best leverage RMSu2019s AI-powered document search, collaboration, publishing, and ESG management features. You will own technical configurations, advise on workflow optimization, and champion best practices to maximize client adoption.



The role is based in London and covers new clients across EMEA, with some international travel required for on-site support.



**Weu2019ll trust you to:**


Lead RMS implementations from discovery to go-live, ensuring clients achieve business and workflow objectives.
Translate client requirements into tailored RMS configurations, including publishing workflows, data integrations, and compliance controls.
Guide clients on adopting AI/NLP-powered document search, BQL analytics, and ESG engagement management.
Deliver engaging training sessions for analysts, portfolio managers, and compliance teams.
Act as a product specialist during implementation, advising clients on maximizing collaboration tools, document annotation, and workflow automation.
Partner with Sales on scoping and solution design to ensure seamless handoff into implementation.
Manage multiple implementations concurrently, balancing project timelines and stakeholder expectations.
Provide structured feedback from client experiences to Product and Engineering to support ongoing innovation.
Drive adoption post-launch by monitoring usage, identifying opportunities for expansion, and embedding RMS into client workflows.



**Youu2019ll need to have:**


At least 4 years of financial technology implementation experience, ideally in Buy-Side research.
Strong expertise in investment research workflows, compliance oversight, and data-driven analytics
Excellent project management and project scoping abilities, with a track record of leading complex, multi-stakeholder implementations
Demonstrated ability to configure and implement enterprise platforms with technical integrations
Excellent client-facing skills: communication, training, and relationship management
A proactive, team-oriented approach with proven ability to work across multiple internal teams and departments such as Sales, Product and Engineering.
Critical thinking, problem-solving, and consultative skills with a proactive, client-first mindset
Strong Microsoft Office knowledge (Word, Excel, PowerPoint, Project, Visio)



**We would love to see:**


Prior experience working with AI/NLP solutions, publishing platforms, or data analytics tools.
Familiarity with Bloomberg applications; knowledge of AIM and/or PORT.
Experience with API-driven workflows.
Familiarity with programming languages (e.g. Python, Java).

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Research Management System (RMS) Implementation Specialist, EMEA - Financial Solutions
Location
London
Business Area
Sales and Client Service
Ref #

**Description & Requirements**
The Bloomberg Financial Solutions department of 5,000+ employees is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: Sales, Service, Operations, Culture and Brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
**Bloomberg's Research Management System (RMS)** is a fully integrated Buy-Side solution that empowers clients to manage investment research efficiently, compliantly, and collaboratively. Leveraging AI and Natural Language Processing (NLP), RMS enables clients to uncover insights across one of the world's largest libraries of broker research, company filings, transcripts, and internal notes. With seamless integration into Microsoft Office®, structured publishing workflows, and real-time collaboration tools, RMS centralizes qualitative and quantitative research, supports ESG engagement tracking, and connects to Bloomberg Query Language (BQL) for powerful analytics.
Our goal is to provide the most scalable research platform in the market - one that helps clients generate actionable ideas, manage compliance risk, and collaborate more effectively across the investment lifecycle.
**What is the role?**
The RMS Implementation Specialist plays a vital role in ensuring successful client engagements by combining deep product expertise with buy-side industry knowledge. You will partner with clients to analyze research workflows, configure RMS, deliver training, and ensure smooth integrations with portfolio management, compliance, and operational systems.
Unlike a generalist project manager, the Implementation Specialist is a hands-on product expert, guiding clients in how to best leverage RMS's AI-powered document search, collaboration, publishing, and ESG management features. You will own technical configurations, advise on workflow optimization, and champion best practices to maximize client adoption.
The role is based in London and covers new clients across EMEA, with some international travel required for on-site support.
**We'll trust you to:**
+ Lead RMS implementations from discovery to go-live, ensuring clients achieve business and workflow objectives.
+ Translate client requirements into tailored RMS configurations, including publishing workflows, data integrations, and compliance controls.
+ Guide clients on adopting AI/NLP-powered document search, BQL analytics, and ESG engagement management.
+ Deliver engaging training sessions for analysts, portfolio managers, and compliance teams.
+ Act as a product specialist during implementation, advising clients on maximizing collaboration tools, document annotation, and workflow automation.
+ Partner with Sales on scoping and solution design to ensure seamless handoff into implementation.
+ Manage multiple implementations concurrently, balancing project timelines and stakeholder expectations.
+ Provide structured feedback from client experiences to Product and Engineering to support ongoing innovation.
+ Drive adoption post-launch by monitoring usage, identifying opportunities for expansion, and embedding RMS into client workflows.
**You'll need to have:**
+ At least 4 years of financial technology implementation experience, ideally in Buy-Side research.
+ Strong expertise in investment research workflows, compliance oversight, and data-driven analytics
+ Excellent project management and project scoping abilities, with a track record of leading complex, multi-stakeholder implementations
+ Demonstrated ability to configure and implement enterprise platforms with technical integrations
+ Excellent client-facing skills: communication, training, and relationship management
+ A proactive, team-oriented approach with proven ability to work across multiple internal teams and departments such as Sales, Product and Engineering.
+ Critical thinking, problem-solving, and consultative skills with a proactive, client-first mindset
+ Strong Microsoft Office knowledge (Word, Excel, PowerPoint, Project, Visio)
**We would love to see:**
+ Prior experience working with AI/NLP solutions, publishing platforms, or data analytics tools.
+ Familiarity with Bloomberg applications; knowledge of AIM and/or PORT.
+ Experience with API-driven workflows.
+ Familiarity with programming languages (e.g. Python, Java).
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Overview

Head of Research Data Management Provision is an exciting new role, based within the Bodleian Libraries and providing strategic leadership in the delivery of specialist systems and services which support the effective management of research data across the University. The post is based in the newly-formed Open Scholarship Support department, which provides a central point for advocacy and strategy in the areas of open access, open scholarship, research data management, copyright and licensing, and digital preservation.nBuilding on the outcomes of a recent review of Research Data Management at the University, you will have responsibility for setting the direction of the University’s data repository, ORA-Data, and for evaluating how the ORA-Data service - and complementary offerings across the University - could better meet the needs of academic researchers in a sustainable way. This is an exciting time for open scholarship and open access at the University of Oxford. In particular, as Head of Research Data Management Provision, you will play a key role in the implementation of nascent funder policies as they relate to research data requirements. A confident strategist and communicator, you will also be working with researchers to shape and support the rapidly evolving areas of open data and reproducible research.nResponsibilities

Set the direction of the University’s data repository ORA-Data and evaluate how ORA-Data and related offerings meet researchers’ needs in a sustainable way.nProvide strategic leadership for specialist systems and services supporting research data management across the University.nTake line management responsibility and actively engage with staff in cross-Bodleian and University matrix teams.nDevelop and implement policy and strategy related to open scholarship, research data management, and related areas.nEngage with researchers to shape and support open data, reproducible research, and funder data requirements.nQualifications

Postgraduate level education with a track record of strategy and policy development.nAbility to develop strong collaborative relationships with academic and professional staff.nUnderstanding of the scholarly communications landscape, both within the UK and globally.nExperience in managing teams and leading cross-organisational initiatives.nApplication process

You will be required to upload a supporting statement as part of your online application. Your supporting statement should list each of the essential and desirable selection criteria, as listed in the job description, and explain how you meet each one. CVs will not be considered.nOnly applications received online by 12.00 midday BST on Wednesday 19 May 2021 can be considered. Interviews are expected to take place in the weeks commencing 7 or 14 June 2021.

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Are you looking for a meaningful role that makes a real difference? Join a friendly postgraduate student at Kings College London and support them with day-to-day life as they return to university.

AskJules are looking for a team of openminded and reliable PAs to support our client, a young wheelchair user who is beginning their PhD in Management Research. From September they will be studying at Kin.

WHJS1_UKTJ

Nursing Clinical Research Operations Lead – Ellesmere Port & Agile

The person for this role needs to have experience in clinical trials but also needs to be comfortable with managing a team and looking after them which could include rota planning etc. They would like this person to live within a commutable distance to their head office, this role is more suited to a hybrid approach so they can work closely as a team. The head office in Ellesmere Port, and they would probably be expected to come in once or twice a week.

About the Role

Reporting to the Head of Clinical Operations you will be an integral member of the Healthcare Clinical Operations Team. You will assist the Head of Clinical Operations in the oversight of all clinical research projects, and lead on the management of clinical operations activity including staffing, delivery and managing the team of regional staff who will provide clinical oversight to the community research unit teams. You will be responsible for ensuring that clinical operations run smoothly to facilitate delivery to time and target across the portfolio. You will ensure that sites are delivering clinical research at a high quality and within a safe clinical research environment, manage clinical operations including nursing and research practitioner activities related to clinical trials, from initiation to close out according to ICH-GCP guidelines and regulatory requirements. This includes the safe, quality and patient-centred care of all of the research participants. You will also ensure commercial success through the successful recruitment and delivery of clinical trials by providing professional leadership to all direct reports and being responsible for the training, professional development, and supervision of your team. Be involved in developing systems and processes, and maintain an agile, competent, flexible research delivery team. You will develop excellent relationships across the different divisions within the organisation as well as all client contacts. You will be involved in reviewing and assessing the feasibility of pipeline studies and from that building on the wider client contact base.

Responsibilities

• Work in collaboration with cross-functional teams within to ensure timelines, KPIs, budgets and quality standards are met.
• Overseeing and managing day-to-day clinical operations, ensuring the effective delivery of clinical research projects to time and target and in accordance with study protocols, ICH-GCP, and applicable regulatory requirements.
• Responsible for maintaining high-quality standards across the department as set out in, SOPs, departmental objectives, and KPIs.
• Build, manage, lead and motivate an integrated, inclusive and flexible team, ensuring that people with the right range of skills and experience are recruited and retained, and that their skills and professional capabilities are maximised.
• Ensure appropriate onboarding of employees and provide training and support for all direct reports to ensure no knowledge gaps within the role are present.
• Support and oversee study set-up, study activities throughout the study duration and close out activities.
• Develop contingency plans and problem-solving strategies to address identified risks.
• Provide support and oversee action plans to address any areas of concern to create a quality and continuous development culture.
• Provide effective direction, leadership, and development of the clinical team and portfolio in support of the business.
• Promote and nurture a professional, welcoming, and pleasant environment for staff and participants to ensure effective team working.
• Manage administrative aspects of Line Management (Timesheets, expenses, performance reviews, etc.) of direct line reports.
• Contribute to SOP update and process improvements for the Clinical Operations Department and across the business as required.
• Facilitate and ensure effective communication, by participation in regular clinical team, multidisciplinary, project strategy, feasibility, and core study meetings.
• Enthusiasm to provide recommendations to help develop the Clinical Trials division and support the organisations Business Development Team to review research protocols and assess feasibility of new studies.
• Attend pre-study site selection visits, site initiation visits for any new study and keep up to date with any changes with study protocols.
• Identify, develop, coordinate, and deliver training, complete competency checks and education requirements for clinical team and others within the organisation as required.
• Contribute to working groups, initiatives, training and other commitments to support the growth of EMS Healthcare.
• Ability to visit Research Units, attend client meetings and travel throughout the UK.
• To support and participate in internal and external audits and regulatory inspections.

Qualifications

• NMC Registered Nurse
• A scientific degree, post graduate qualification or equivalent
• Good Clinical Practice Training
• Good working knowledge of clinical trial regulations, good clinical practice (GCP) guidelines and other frameworks, and their implications for clinical trials research.

Required Skills

• Substantial Experience as a Senior Clinical Research Lead with a minimum of 5 years working in a clinical research setting
• Strong leadership skills and a proven history of leading teams.
• Experience of staff management and development, clinical supervision and monitoring
• Experience of delegating responsibilities and prioritising workload
• Wide ranging experience in the conduct of clinical trials, including commercial trials
• Experience of working on clinical trials involving ‘Clinical Trials of Investigational Products (CTIMPs).
• Ability to monitor the quality of own and others work
• Experience of audits and regulatory inspections
• Experience of developing and implementing policies and procedures
• Ability to deal with conflict situations and experience of handling clinical incidents and complaints.
• Understanding and rising to the challenges in research delivery (including non-traditional research settings)
• Experience in Clinical Procurement and Vendor
• Excellent IT skills and proficient in using Microsoft Office.
• Excellent communication and presentation skills
• Ability to establish/maintain good relationships with sites/colleagues/clients
• Ability to make decisions independently / Strong problem-solving skills
• Self-motivation to research and understand the healthcare sector and NHS markets.
• A flexible approach to work

Preferred Skills

• Full UK residency and hold a valid driving license and have suitable transport provisions (public transport is not recommended due to location of offices)
• Able to travel throughout the UK and Overseas if required

Pay range and compensation package

Up to £65k per annum

Nursing Clinical Research Operations Lead – Ellesmere Port & Agile The person for this role needs to have experience in clinical trials but also needs to be comfortable with managing a team and looking after them which could include rota planning etc. They would like this person to live within a commutable distance to their head office, this role is more suited to a hybrid approach so they can work closely as a team. The head office in Ellesmere Port, and they would probably be expected to come in once or twice a week. About the Role Reporting to the Head of Clinical Operations you will be an integral member of the Healthcare Clinical Operations Team. You will assist the Head of Clinical Operations in the oversight of all clinical research projects, and lead on the management of clinical operations activity including staffing, delivery and managing the team of regional staff who will provide clinical oversight to the community research unit teams. You will be responsible for ensuring that clinical operations run smoothly to facilitate delivery to time and target across the portfolio. You will ensure that sites are delivering clinical research at a high quality and within a safe clinical research environment, manage clinical operations including nursing and research practitioner activities related to clinical trials, from initiation to close out according to ICH-GCP guidelines and regulatory requirements. This includes the safe, quality and patient-centred care of all of the research participants. You will also ensure commercial success through the successful recruitment and delivery of clinical trials by providing professional leadership to all direct reports and being responsible for the training, professional development, and supervision of your team. Be involved in developing systems and processes, and maintain an agile, competent, flexible research delivery team. You will develop excellent relationships across the different divisions within the organisation as well as all client contacts. You will be involved in reviewing and assessing the feasibility of pipeline studies and from that building on the wider client contact base. Responsibilities Work in collaboration with cross-functional teams within to ensure timelines, KPIs, budgets and quality standards are met. Overseeing and managing day-to-day clinical operations, ensuring the effective delivery of clinical research projects to time and target and in accordance with study protocols, ICH-GCP, and applicable regulatory requirements. Responsible for maintaining high-quality standards across the department as set out in, SOPs, departmental objectives, and KPIs. Build, manage, lead and motivate an integrated, inclusive and flexible team, ensuring that people with the right range of skills and experience are recruited and retained, and that their skills and professional capabilities are maximised. Ensure appropriate onboarding of employees and provide training and support for all direct reports to ensure no knowledge gaps within the role are present. Support and oversee study set-up, study activities throughout the study duration and close out activities. Develop contingency plans and problem-solving strategies to address identified risks. Provide support and oversee action plans to address any areas of concern to create a quality and continuous development culture. Provide effective direction, leadership, and development of the clinical team and portfolio in support of the business. Promote and nurture a professional, welcoming, and pleasant environment for staff and participants to ensure effective team working. Manage administrative aspects of Line Management (Timesheets, expenses, performance reviews, etc.) of direct line reports. Contribute to SOP update and process improvements for the Clinical Operations Department and across the business as required. Facilitate and ensure effective communication, by participation in regular clinical team, multidisciplinary, project strategy, feasibility, and core study meetings. Enthusiasm to provide recommendations to help develop the Clinical Trials division and support the organisations Business Development Team to review research protocols and assess feasibility of new studies. Attend pre-study site selection visits, site initiation visits for any new study and keep up to date with any changes with study protocols. Identify, develop, coordinate, and deliver training, complete competency checks and education requirements for clinical team and others within the organisation as required. Contribute to working groups, initiatives, training and other commitments to support the growth of EMS Healthcare. Ability to visit Research Units, attend client meetings and travel throughout the UK. To support and participate in internal and external audits and regulatory inspections. Qualifications NMC Registered Nurse A scientific degree, post graduate qualification or equivalent Good Clinical Practice Training Good working knowledge of clinical trial regulations, good clinical practice (GCP) guidelines and other frameworks, and their implications for clinical trials research. Required Skills Substantial Experience as a Senior Clinical Research Lead with a minimum of 5 years working in a clinical research setting Strong leadership skills and a proven history of leading teams. Experience of staff management and development, clinical supervision and monitoring Experience of delegating responsibilities and prioritising workload Wide ranging experience in the conduct of clinical trials, including commercial trials Experience of working on clinical trials involving ‘Clinical Trials of Investigational Products (CTIMPs). Ability to monitor the quality of own and others work Experience of audits and regulatory inspections Experience of developing and implementing policies and procedures Ability to deal with conflict situations and experience of handling clinical incidents and complaints. Understanding and rising to the challenges in research delivery (including non-traditional research settings) Experience in Clinical Procurement and Vendor Excellent IT skills and proficient in using Microsoft Office. Excellent communication and presentation skills Ability to establish/maintain good relationships with sites/colleagues/clients Ability to make decisions independently / Strong problem-solving skills Self-motivation to research and understand the healthcare sector and NHS markets. A flexible approach to work Preferred Skills Full UK residency and hold a valid driving license and have suitable transport provisions (public transport is not recommended due to location of offices) Able to travel throughout the UK and Overseas if required Pay range and compensation package Up to £65k per annum

Meet DeepLnDeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas.

Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you’re ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.

What sets us apartnWhat sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on LinkedIn, Instagram and our Blog.

Meet the team behind this journeynWithin the Infrastructure Operations and Security (IOPS) department, our data center unit manages all infrastructure systems across our remote sites. As a key member of the Research Infrastructure Operations (RIO) team, you will architect, design and operate our High-Performance Computing (HPC) infrastructure, making a fundamental contribution to our AI development.

You will work hands-on with our various Nvidia clusters, comprising thousands of GPUs. Given the scale and complexity of our workloads, it’s not just about maintaining our systems, it’s about elevating them. You will use your expertise in tooling and automation to improve the efficiency, reliability and performance of our infrastructure, taking our operations to the next level.

In this role, you will also coordinate with on-site staff and work closely with various teams within our organization. Joining our team means becoming part of a skilled group of engineers ready to support and kick-start your journey with us.

Your responsibilities

Design, plan, and implement automation for the maintenance and troubleshooting of our bare-metal GPU infrastructure

Benchmark and optimize the performance of our GPU infrastructure systems

Team up with researchers and developers to troubleshoot and fine-tune applications for HPC environments

Work on various projects and help keep our sites in a consistent, up to date and optimized state, on all aspects from firmware to architectural deployment plans

Support the team in case of unexpected issues, coordinate escalation to specialized teams when needed

Make your job easier by automating as much as possible using our advanced toolchain

Develop and implement custom monitoring checks to gain insights and respond to technical issues

Work with different hardware vendors in a top-notch, high-performance environment

About you

Extensive experience in management and troubleshooting of GPU compute clusters at scale

Proficiency in containerization and container orchestration technologies such as Docker and Kubernetes

Software engineering expertise and fluency in at least one programming language, preferably in Go

Expertise in patch and OS management at scale

Experienced in Linux performance benchmarking, tuning, and troubleshooting

Familiarity with distributed storage solutions like Lustre and Ceph

Knowledgeable in networking technologies and protocols, including Ethernet and ideally Infiniband

Proactive and solution-oriented mindset

Excellent problem-solving skills

Initiative-driven and able to take ownership

What we offer

Diverse and internationally distributed team : joining our team means becoming part of a large, global community with people of more than 90 nationalities. We’re more than just colleagues; we’re a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we’ve doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.

Open communication, regular feedback : as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.

Hybrid work, flexible hours : we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.

Regular in-person team events : we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally.

Monthly full-day hacking sessions : every month, we have Hack Fridays, where you can spend your time diving into a project you’re passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.

30 days of annual leave : we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you’re as strong mentally as you are professionally.

Virtual Shares:

An ownership mindset in every role. We believe everyone should share in our success, and that’s why every employee receives Virtual Shares, linking your contribution directly to DeepL’s growth and rewarding you with a stake in our future.

Competitive benefits : just as our team spans the globe, so does our benefits package. We’ve crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.

If this role and our mission resonate with you, but you’re hesitant because you don’t check all the boxes, don’t let that hold you back. At DeepL, it’s all about the value you bring and the growth we can foster together. Go ahead, apply—let’s discover your potential together. We can’t wait to meet you!

We are an equal opportunity employernYou are welcome at DeepL for who you are—we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.

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**Job Requisition ID #**
25WD90720
Job Title: Principal MLOps _Machine Learning_ Operations Developer for AI Research
**Position Overview**
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.
As a MLOps Developers at Autodesk Research, you will be working side-by-side with world-class AI researchers to build and scale foundation models trained on design data. You will focus on overcoming the challenges associated with large-scale _model_ training and processing of vast amounts of diverse design data. Your expertise in distributed systems, ML infrastructure, and data engineering will be crucial in developing the next generation of ML-powered product features that will help our customers imagine, design, and make a better world.
You'll be joining a rapidly growing team working on a project that aims to revolutionize the design of nearly every aspect of the built environment. Your contributions will directly influence how designers, architects, and engineers interact with AI tools in the future.
This role is fully remote-friendly. Our team operates primarily remotely with team members distributed across the globe, with offices in London, Boston, Toronto and other locations worldwide. At Autodesk, we embrace remote work while fostering connection through regular team offsites for collaborative planning and relationship building. This balanced approach ensures you can work where you're most productive while maintaining meaningful connections with colleagues.
**Responsibilities**
+ Support AI researchers by building scalable ML training pipelines and infrastructure for foundation _model_ development
+ Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
+ Optimize distributed training systems and develop solutions for _model_ parallelism, checkpointing, and efficient resource management
+ Analyze performance bottlenecks and provide solutions to scaling problems
+ Implement and maintain robust, testable code that is well documented and easy to understand
+ Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
+ Present results to collaborators and leadership
**Minimum Qualifications**
+ BSc or MSc in Computer Science or related field, or equivalent industry experience
+ Experience with distributed systems for _machine learning_ and deep learning at scale
+ Strong knowledge of ML infrastructure and _model_ parallelism techniques, including frameworks like _PyTorch_ , Lightning, Megatron, DeepSpeed, and FSDPProficiency in Python and strong software engineering practices
+ Experience with cloud services and architectures (AWS, Azure, etc.)
+ Familiarity with version control, CI/CD, and deployment pipelines
+ Excellent written documentation skills to document code, architectures, and experiments
**Preferred Qualifications**
+ Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)
+ Knowledge of the AEC industry and its specific data processing challenges
+ Experience scaling ML training and data pipelines for large datasets
+ Experience with distributed data processing and ML infrastructure (e.g., Apache Spark, Ray, Docker, Kubernetes)
+ Experience with performance optimization, monitoring, and efficiency in large-scale ML systems
+ Experience with Autodesk or similar products (Revit, Sketchup, Forma)
**The Ideal Candidate**
+ A self-starter who can solve problems with minimal supervision while collaborating effectively with a global, remote-first team
+ Adaptable and creative, comfortable building new infrastructure or working within existing codebases
+ Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential
+ Excellent communicator who can convey complex technical concepts clearly to diverse audiences
#LI-JK3
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

Principal Machine Learning Operations Developer for AI Research page is loaded Principal Machine Learning Operations Developer for AI Research Apply locations London, GBR time type Full time posted on Posted 12 Days Ago job requisition id 25WD90720

Job Requisition ID #n25WD90720 Job Title: Principal

Machine Learning

Operations Developer for AI ResearchnPosition OverviewnThe work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.nAs a MLOps Developers at Autodesk Research, you will be working side-by-side with world-class AI researchers to build and scale foundation models trained on design data. You will focus on overcoming the challenges associated with large-scale

model

training and processing of vast amounts of diverse design data. Your expertise in distributed systems, ML infrastructure, and data engineering will be crucial in developing the next generation of ML-powered product features that will help our customers imagine, design, and make a better world.nYou'll be joining a rapidly growing team working on a project that aims to revolutionize the design of nearly every aspect of the built environment. Your contributions will directly influence how designers, architects, and engineers interact with AI tools in the future.nThis role is fully remote-friendly. Our team operates primarily remotely with team members distributed across the globe, with offices in London, Boston, Toronto and other locations worldwide. At Autodesk, we embrace remote work while fostering connection through regular team offsites for collaborative planning and relationship building. This balanced approach ensures you can work where you're most productive while maintaining meaningful connections with colleagues.nResponsibilitiesnSupport AI researchers by building scalable ML training pipelines and infrastructure for foundation

model

development

Design efficient data processing workflows for large-scale design datasets and industry-specific file formats

Optimize distributed training systems and develop solutions for

model

parallelism, checkpointing, and efficient resource management

Analyze performance bottlenecks and provide solutions to scaling problems

Implement and maintain robust, testable code that is well documented and easy to understand

Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers

Present results to collaborators and leadership

Minimum QualificationsnBSc or MSc in Computer Science or related field, or equivalent industry experience

Experience with distributed systems for

machine learning

and deep learning at scale

Strong knowledge of ML infrastructure and

model

parallelism techniques, including frameworks like

PyTorch

, Lightning, Megatron, DeepSpeed, and FSDPProficiency in Python and strong software engineering practices

Experience with cloud services and architectures (AWS, Azure, etc.)

Familiarity with version control, CI/CD, and deployment pipelines

Excellent written documentation skills to document code, architectures, and experiments

Preferred QualificationsnExperience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)

Knowledge of the AEC industry and its specific data processing challenges

Experience scaling ML training and data pipelines for large datasets

Experience with distributed data processing and ML infrastructure (e.g., Apache Spark, Ray, Docker, Kubernetes)

Experience with performance optimization, monitoring, and efficiency in large-scale ML systems

Experience with Autodesk or similar products (Revit, Sketchup, Forma)

The Ideal CandidatenA self-starter who can solve problems with minimal supervision while collaborating effectively with a global, remote-first team

Adaptable and creative, comfortable building new infrastructure or working within existing codebases

Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential

Excellent communicator who can convey complex technical concepts clearly to diverse audiences

#LI-JK3nLearn MorenAbout AutodesknWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.nWe take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.nWhen you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!nSalary transparencynSalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & BelongingnWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?nPlease search for open jobs and apply internally (not on this external site).

Shape the world, shape your future

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.nWe take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.nWhen you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

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