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Senior AI & ML Instructor
Posted 22 days ago
Job Viewed
Job Description
About Decoded
We are Decoded, the pioneers of transformative technology education. We democratise cutting edge skills. We help transform traditional businesses into tech companies. We give our learners the skills and confidence to embrace the future of work.
Our products and methodologies have been shaped through our collaboration with some of the largest and most technologically progressive organisations in the world. We use the intelligent, ethical and creative application of technology to lay the foundations for a more productive and promising world – one with unlimited possibilities.
Overview
As the Senior AI & ML Instructor, you will work across our AI Portfolio product workstreams, including the Apprenticeship Level 6 AI Engineer programme. Key responsibilities include teaching, providing learner support and developing content.
You will contribute to ensuring high-quality learning, satisfied customers and learners. Working alongside the Portfolio Director of AI, you will develop and grow the AI product line across our upskill, reskill and apprenticeship programmes.
The core teaching window is 09:00-17:00 UK time with occasional delivery outside core hours (<10 % of sessions) for global clients.
Accountabilities
As a Senior AI & ML Instructor at Decoded, you are accountable for:
Ensuring your allocated teaching sessions are delivered to a consistently high quality.
Working with the Learner Success Coaches (LSCs) to ensure learners progress through the programme. Each
Learner will have the support of an LSC to support them with practical and pastoral guidance.
Responding to and resolving learner enquiries to support them in acquiring the required skills and knowledge throughout their programme.
Supporting content and product development across the Decoded programme curriculums.
Design and develop learning solutions, as well as initiate new products and manage them through development to operation.
Ensuring compliance with programme standards (which may include awarding bodies or organisations such as Ofsted, ESFA, partners, and other authorities) with respect to all procedures associated with teaching, learning and assessment.
Specific Role & Responsibilities
Teaching Decoded workshops:
Delivering effective teaching across various formats, addressing technical challenges efficiently and ensuring timely and smooth execution with a strong grasp of curriculum and standards.
Fostering a safe and inclusive learning environment.
Familiarising yourself with the course structure and content, proactively filling gaps in your knowledge
Contributing to internal training on content and delivery methodologies.
Achieve teaching quality scores that meet or exceed quality indicators
Learner coaching:
Responding to learner queries in a timely and effective way on the Help Centre related to course materials, assignments and projects, for example.
Providing support to learners with the tools and environments used in Decoded programmes.
Creating a safe coaching environment for learners, in relation to safeguarding, e-safety and wellbeing, for example.
Staying up-to-date with the latest trends and the specific tools and technologies covered in Decoded programmes.
Supporting Learner Success to assess evidence from learners on the knowledge, skills and behaviours they are acquiring throughout the programme.
Supporting Learner Success to provide timely feedback on learners’ projects at the end of each module as part of their assessment.
Product development:
Providing detailed feedback on our content to drive product improvements.
Contribute to the innovation and development of content and technical learning products.
Working closely with Product Developers and Learning Experience Designers to develop curriculum content that meets the expectations and needs of all stakeholders.
Skills & behaviours
We are looking for candidates with a mindset built on:
Building collaborative relationships
Solving problems elegantly and creatively: “find a way or make a way”
Organisational skills - proactivity, process improvements
Excellent communication skills: adaptable, clear and consistent written, verbal, 1:1, group
A flexible, can do attitude and a willingness to learn
Striving for excellence in all areas
Exceptional attention to detail to deliver timely, quality results
A passion to learn and adapt
Essential skills for working across our AI portfolio include:
Demonstrable professional experience in end-to-end machine learning projects, including data preparation, model development, evaluation, deployment and monitoring.
Up-to-date knowledge of core ML techniques, with expertise in at least one specialty area (e.g. NLP/LLMs, computer vision or generative models).
Experience with at least one major cloud provider (AWS, Azure or GCP), and familiarity with MLOps toolchains, CI/CD pipelines, containerisation (Docker/Kubernetes) and orchestration/versioning tools (e.g. MLflow, Kubeflow).
Proficiency with Python and source control and collaboration tools (Git, GitHub/GitLab).
Prior teaching, mentoring or coaching experience; confident delivering to mixed‑ability cohorts.
Excellent communication skills, with the ability to translate complex concepts into clear, jargon-light language for diverse audiences.
Desirable:
Formal teaching qualification or EPA assessor training.
Experience authoring interactive labs and workshops
Experience with data governance, responsible AI or GenAI prompt engineering.
What does success look like?
Your performance will be measured and driven by:
Enabling learners to apply newly learned techniques to their professional environment
Delivering regular high-quality learning engagements with learners
Coaching through the application of techniques that are new to learners
Striving for excellence in everything you do: you don’t accept mediocrity in yourself or the team around you
Solving problems elegantly and creatively: “find a way or make a way”
A successful candidate will be expected to achieve the following within 3 months:
Autonomous management of content development deadlines
Autonomous management of workshop delivery
Confidence to successfully deliver at least 60% of our Apprenticeship workshops
An overall Teacher KPI score of 75%
Autonomous management of well-informed and timely responses to all learner queries on the helpdesk
Who are you?
You are:
A passionate technologist with over 2 years of Data Science (or similar) industry experience, ideally including teaching experience
Confident with live coding in Python
An excellent and adaptable communicator, verbally and in writing
Self-motivated and a problem solver who takes initiative
Passionate about technology and learning
A team player who is eager to improve our programmes wherever possible and contributes to overall morale
Always keen to learn, improve and stretch your own knowledge, skills and behaviours
Familiar or experienced with Data Science and AI concepts and tools
Team reporting and structure
You will report into the Portfolio Director, in the Product Department.
Day to day
This role can be delivered fully remote within the UK, provided the working location has consistently reliable Wifi for workshop delivery. The Decoded office in London Liverpool Street is available to all Decoded employees for non-workshop delivery work.
Your working hours will be 09:00 - 17:00.
Learning and progression
We run a dedicated learning calendar to hone craft skills in teaching, leadership, strategy and other relevant disciplines.
Quarterly performance reviews embedded within our culture of feedback will ensure you are recognised and rewarded for the value that you bring to Decoded.
Apart from the above, working at Decoded means you’ll get:
33 days* leave per year (inclusive of bank holidays) and an extra tenured holiday enabling team members to gain an additional day for every year you are with us (after the first 2 years) up to a maximum of 8. We also close the office for 2 full weeks at Christmas at
Decoded's discretion, which does not come out of your holiday allowance.
Flexible working, including work-from-home
Modern, flexible and fully serviced offices at WeWork in Liverpool Street, London
Company pension/retirement contributions
Health care, including dental, medical, and vision*, and to help you prioritise your wellbeing
Travel insurance
Social events and all company gatherings
Continuous learning and development. You will be challenged with lots of responsibility and exciting projects in an environment that encourages learning
A work environment that values creativity, personal growth and collaboration
Free monthly lunches
Laptop and virtual work equipment kit provided
Decoded is committed to safeguarding and promoting the welfare of children, young people and vulnerable adults and expects all staff and volunteers to share this commitment
Delivery Consultant (AI/ML), Professional Services
Posted 3 days ago
Job Viewed
Job Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
A day in the life
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 3+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in software development with object oriented language
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Sr Delivery Consultant (AI/ML), Professional Services
Posted 3 days ago
Job Viewed
Job Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
A day in the life
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in software development with object oriented language
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Sr Solution Architect AI/ML Strategic Accounts EMEA, Strategic Accounts EMEA
Posted 3 days ago
Job Viewed
Job Description
Are you passionate about pioneering the future of autonomous AI systems and eager to solve real-world problems with the latest agentic solutions? The Strategic Accounts Specialist Solutions Architecture (SSA) team at AWS partners with our most advanced customers to develop transformative solutions leveraging AWS's comprehensive AI/ML stack. As a GenAI Solutions Architect specializing in agentic systems, you'll architect multi-agent ecosystems where specialized AI agents collaborate through sophisticated orchestration frameworks to solve complex enterprise challenges.
You'll design autonomous agent architectures that leverage Amazon Bedrock's advanced capabilities for reasoning, planning, and execution across enterprise workflows. Working directly with product teams, you'll influence AWS's agentic AI roadmap while helping customers implement agent broker patterns, supervisor patterns, and multi-agent collaboration frameworks that enable AI systems to perceive environments, make decisions, and take actions with minimal human oversight. You'll conduct performance evaluations of agent reasoning capabilities, develop compelling demos showcasing autonomous AI workflows, and create proof-of-concepts that demonstrate how agentic systems can transform business processes through goal-directed operation.
In this role, you'll shape the future of enterprise AI while continuously developing novel solutions to complex business challenges. Using AWS's comprehensive AI stack including Amazon Bedrock, Amazon SageMaker, and Amazon Q, you'll implement agentic systems with advanced capabilities including memory retention, cognitive processing, and retrieval augmented generation. You'll design solutions that enable AI agents to break down user requests, gather relevant information through perception modules, and efficiently complete multistep tasks through cognitive modules that employ deep learning, reinforcement learning, and probabilistic reasoning.
At AWS, you'll pioneer the next frontier in computing by creating AI agents that go beyond content generation to autonomously execute tasks, interact with enterprise systems, and make real-time decisions. Whether implementing CrewAI frameworks for collaborative agent teams or designing custom agent workflows for specific industry challenges, you'll help organizations build scalable, maintainable AI systems that evolve with their business needs and drive unprecedented transformation across industries.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
The AWS Industries team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers where they are in their cloud journey and work backwards from their industry specific needs to transform their business and their entire industry. Our team speaks the language of our industry customers, which means that we focus on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner.
Key job responsibilities
Design and implement autonomous AI agent architectures that orchestrate complex workflows across enterprise systems, leveraging AWS services like Amazon Bedrock, SageMaker, and Amazon Q
- Architect multi-agent ecosystems where specialized AI agents collaborate through sophisticated orchestration frameworks to solve complex enterprise challenges
- Develop strategic technical roadmaps and implementation plans for agentic AI solutions that align with customers' business objectives and existing architecture
- Conduct performance evaluations of agent reasoning capabilities and create proof-of-concepts that demonstrate how agentic systems can transform business processes
- Collaborate with cross-functional teams including business analysts, developers, and project managers to integrate agentic AI solutions into existing systems
- Stay current with the latest advancements in agentic AI research and AWS service capabilities to improve system performance and recommend optimal technology stacks
- Communicate complex technical concepts to stakeholders, translating technical elements into business language that demonstrates clear value
- Mentor team members and contribute to knowledge sharing within the organization to advance agentic AI adoption and implementation best practices
About the team
The AWS Industries team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers in their cloud journeys and work backwards from their industry-specific needs to transform their businesses and industries. Our team focuses on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- Multiple years of specific technology domain experience in the field of Analytics, AI/ML or Generative AI
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
Preferred Qualifications
- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Senior Analyst, Machine Learning
Posted 3 days ago
Job Viewed
Job Description
At SitusAMC, we are looking to match your unique experience with one of our amazing careers, so that we can help you realize your potential and career growth within the Real Estate Industry. If you are someone who can be yourself, advocate for others, stay nimble, dream big, own every outcome, and think global but act local - come join our team!
Essential Job Functions:
+ Provide innovative solutions for problems in commercial real estate using generative AI and other machine learning algorithms
+ Use large language models (LLMs) to analyze various commercial real estate data sets, including large sets of financial documents and commercial real estate market data
+ Engineer and tune LLM prompts, and perform automatic and manual evaluations of LLM outputs
+ Apply machine learning algorithms to find patterns in financial data sets, especially time series, related to commercial real estate
+ Translate business problems and requirements into tasks that can be solved with generative AI, machine learning, or other algorithmic solutions
+ Process structured and unstructured data for generative AI use cases
+ Collaborate with engineering and product development teams
+ Following experimentation and model selection and validation, implement the solution using production-ready Python code
+ Contribute to the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance of machine learning solutions
+ Monitor model performance post-deployment and iterate based on feedback
+ Communicate with, and present results to, colleagues and stakeholders
+ Present information using data visualization techniques
Qualifications/Requirements:
+ A master's degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required
+ Mid-level professional with 2-4 years of ML/AI experience, typically at an Analyst level role or external equivalent
+ A scientific approach to solving problems, an analytical mind, and experience in applied machine learning and generative AI
+ Experience in applying LLMs to analyze text documents, prompt engineering, and manual and automatic evaluation of LLM outputs
+ Good foundational knowledge of standard machine learning algorithms and statistical methods
+ Proficient in python and its standard data science and ML libraries (e.g., numpy, pandas, scikit-learn, boosting and data visualization libraries)
+ Practical experience in data processing and feature engineering for machine learning applications
+ Ability to write robust production-ready Python code
+ Good communication and presentation skills
+ Experience in commercial real estate is a plus
#LI-Onsite #LI-AS1
**Note: This job description is not intended to be all inclusive or exclusive. At any time, employees may perform other related duties as required to meet the ongoing needs of the organization and participate in additional trainings. SitusAMC does not accept unsolicited resumes from staffing agencies, search firms or any third parties. Any unsolicited resume submitted to SitusAMC in any manner will be considered SitusAMC property, and SitusAMC will not pay a fee for any placement resulting from the receipt of an unsolicited resume.**
Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally, certain positions may be eligible to receive a discretionary bonus as determined by bonus program guidelines, position eligibility and SitusAMC Senior Management approval.
SitusAMC offers a comprehensive and competitive benefits plan.
SitusAMC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Senior Machine Learning Engineer
Posted 3 days ago
Job Viewed
Job Description
25WD8887
**Position Overview**
As we embark on a multi-year mission to revolutionize the Computer Aided Design (CAD) and Manufacturing (CAM) industry with Autodesk Fusion, we are excited to offer a pivotal role in our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities.
As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services will be utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem.
Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods, technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success.
In return, you will be part of a team committed to innovation, fast iteration times, minimal bureaucracy, and a collaborative work environment. This is your opportunity to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing.
**Responsibilities**
+ **Cloud-Based Data Preparation:** Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space.
+ **Optimization:** Optimize this pipeline for throughput, latency, and cost using published or novel and creative approaches.
+ **Model Development:** Develop ML models, building on the latest published research.
+ **Model Improvement:** Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning.
+ **Integration:** Integrate existing ML models into novel applications.
+ **Application Development:** Develop and deploy applications that integrate AI/ML technology or models.
+ **Problem Solving:** Apply ML methods to address challenges in the CAD/CAM space.
+ **Literature Review:** Review relevant AI/ML literature and industry developments to identify emerging methods, technologies, and best practices.
+ **Collaboration:** Work collaboratively with cross-functional teams to integrate research findings into product development.
+ **Mentorship:** Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement.
+ **Publication:** Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events.
**Requirements**
+ **Research Expertise:** Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics.
+ **Real-World Experience:** Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any form.
+ **Programming Skills:** Proficiency in Python and JavaScript (required), C++ (optional).
+ **Analytical Skills:** Solid understanding of ML approaches to determine suitable technologies or methodologies for specific problems.
+ **Code Quality:** Natural aptitude for good code and software architecture.
+ **Work Ethic:** Hands-on mentality.
**Preferred requirements**
+ **Cloud Computing:** Strong experience with AWS services, particularly ECS, EC2, Lambda, and AWS Identity and Access Management (IAM).
+ **Governance Understanding:** Understanding of governance for cloud-based and AI solutions (e.g., SOC2, ISO 42001, EU AI Act).
+ **ML Frameworks:** Experience with ML frameworks for data preparation and training at a large scale.
**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 - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future 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, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging and an equitable workplace 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).
Machine Learning Engineer III
Posted 3 days ago
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Job Description
Amex GBT Egencia is at the center of revolutionizing business travel with our cutting-edge technology and the most desirable products in the industry. We have grown from a small start-up to become the 4th largest corporate travel management company in the world and getting acquired by the 1st.
How often do you get the opportunity to work in what feels like a startup environment but has funding of our parent company? That's what you would be doing if you were joining Amex GBT.
The team's responsibilities span data integration supporting customers and internal business area and ML platform development. We are looking for a talent with different skillset, a passionate technologist and dedicated to solving real-world business problems; to lead the excellence of Data/ML engineering practice.
**What You'll Do on a Typical Day**
+ Partner with technologists across the business to collaboratively solve problems.
+ Demonstrates active mentorship and rising talent identification.
+ Develops north star vision for domain in which they are focused.
+ Demonstrates positive impact and leadership across scope of the organization.
+ Serves as a specialist in architecting design solution patterns to any use case. Considers business needs, application needs and articulating to interested teams and partners.
+ Demonstrates mastery of software design, shapes coding methodologies that is scalable, resilient and stable.
+ Possesses a deep knowledge of entire system and can jump into code in any component and fire fight and contribute.
+ Expertise of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
+ Leads collaboration with key partners and contributes subject matter expertise to develop unique solutions to complex issues.
+ Have good infrastructure knowledge (AWS, Kubernetes)
+ Have some experience with Data (BI, Reporting, Analytics, Machine Learning and so on) would be a plus
**What We're Looking For**
+ 2 to 3 years for Bachelor's or equivalent / for Master's
+ Development background, infrastructure (AWS) knowledge, Data awareness
+ Proven experience in data modeling, schema design patterns and modern data access patterns (including API, streaming, data lake) and AWS
+ Demonstrates familiarity with various cloud technologies and building data products to support batch and real-time DS, ML and Deep learning applications.
+ Independently designs, communicates and executes on architecture for moderately sophisticated data products.
+ Has a strong understanding of testing and monitoring tools and technologies.
+ Guides others in design of software that is easily testable and observable.
+ Influences and contributes to product vision for the team.
+ Proficiency in platform development using Java/Python and SQL
+ Have some experience of Sagemaker or equivalent, feature store, dashboards and so on.
+ Has some basics around LLM, guardrails, observability, RAG.
**Location**
London, United Kingdom
**The #TeamGBT Experience**
Work and life: Find your happy medium at Amex GBT.
+ **Flexible benefits** are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.
+ **Travel perks:** get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.
+ **Develop the skills you want** when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.
+ **We strive to champion Inclusion** in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.
+ And much more!
All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.
Click Here ( for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.
Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement ( .
**What if I don't meet every requirement?** If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Click Here to Learn More (
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Job Description
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Job Description
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