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19 Machine Learning Engineer jobs in London

Machine Learning Engineer

London, London The Portfolio Group

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permanent

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems.

We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include:

  • Search relevancy engineering.
  • Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities.
  • Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources.
  • Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT).
  • Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks.
  • Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy.
  • AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS.
  • End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring.
  • Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js.
  • Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch.

Required skills & experience:

  • 3-5+ years in machine learning and software development
  • Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers
  • Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments.
  • Full-stack experience (React, TypeScript, Node.js) and API development.
  • Familiarity with vector search and multi-agent orchestration

Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in Leicestershire.

MLE(phone number removed)AMR

INDAM

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Machine Learning Engineer

London £40000 - £50000 Annually In Technology Group

Posted 2 days ago

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permanent

Job Title: Machine Learning Engineer

Location: London (1 days per week onsite) - Flexible

Salary: 45,000 DOE + Benefits


Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI.

A FTSE 250 company, they combine expertise and insight with advanced technology and analytics to address the needs of over 1,400 schemes and their sponsoring employers on an ongoing and project basis. We undertake administration for over one million members and provide advisory services to schemes and corporate sponsors in respect of schemes of all sizes, including 88 with assets over 1bn. We also provide wider ranging support to insurance companies in the life and bulk annuities sector.

The Team

The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas.

The Role

As a Machine Learning Engineer you will:

  • Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings.
  • Machine Learning Operations. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines.
  • Data Management and Preprocessing. Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality.
  • Software Development. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review.
  • Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues to integrate data science findings into practical advice and strategies.
  • Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation.
  • Provide training and support to other team members on using machine learning tools and understanding analytical techniques.
  • Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders.

Your profile

Essential Criteria

  • Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments.
  • Experience in data wrangling using Python, SQL and ADF.
  • Experience in CI/CD and DevOps/MLOps and version control.
  • Familiarity with data visualization and reporting tools, ideally PowerBI.
  • Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders.
  • Experience in the pensions or similar regulated financial services industry is highly desirable.
  • Experience in working within a multidisciplinary team would be beneficial.

We offer an attractive reward package, typical benefits can include:

  • Competitive salary
  • Participation in annual discretionary Bonus Scheme
  • 25 days holiday plus flexibility to buy or sell holiday
  • Flexible Bank holidays
  • Pension scheme, matching contribution structure
  • Healthcare cash plan
  • Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle
  • Life Assurance cover, four times basic salary
  • Rewards (offers High Street discounts and savings from retailers and services providers as well as offers available via phone)
  • Employee Assistance Programme for you and your household
  • Access to a digital GP service
  • Paid volunteering day when participating in Company organised events
  • Staff referral scheme when you introduce a friend

In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.

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Machine Learning Engineer

London The Portfolio Group

Posted 3 days ago

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Job Description

permanent

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems.

We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include:

  • Search relevancy engineering.
  • Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities.
  • Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources.
  • Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT).
  • Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks.
  • Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy.
  • AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS.
  • End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring.
  • Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js.
  • Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch.

Required skills & experience:

  • 3-5+ years in machine learning and software development
  • Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers
  • Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments.
  • Full-stack experience (React, TypeScript, Node.js) and API development.
  • Familiarity with vector search and multi-agent orchestration

Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in Leicestershire.

MLE(phone number removed)AMR

INDAMS

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Machine Learning Engineer

London Be Amazed Media Ltd

Posted 5 days ago

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Do you want to influence the lives of millions of people every day?


Do you want to be part of a growing digital publishing company that will become one of the largest disseminators of knowledge in the world?


If you answered yes to those questions, you may be the person we're searching for.

We create original infotainment content published online to multiple digital assets in multiple languages. In a few years, we've accrued 9+ billion views and 25 million+ subscribers. We're perfectly positioned to become largest disseminator of knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here:


We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at their job. These tools require us to extract, analyse and infer knowledge from our content which help to inform and shape our future content pipeline.


We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data.


You must be organised to ensure deadlines are met, and willing to take on new challenges. Our work is seen by millions of people each day all around the world, so your work will have a massive impact.


You should be looking for more than just a job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth.


As a machine learning engineer, your role will involve:

  • Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance;
  • Building Interactive Dashboards for Data Visualisation and Analysis.;
  • Fine-tuning large language models (e.g. GPT 4), and working with our script writers to help us automate parts of our content generation pipeline;
  • Working with our team to proactively suggest ways in which technology can be applied intelligently to our work pipeline;


Ideal candidates should demonstrate:

  • Creative problem-solving skills, be open-minded and willing to collaborate with developers and other members of staff.
  • Communication skills to explain complicated solutions to all levels within a business.
  • A self-starter attitude with a diverse array of interests and a thirst for knowledge
  • A creative spark with a proven ability to think outside of the box


You MUST have the following skills:

  • Previous experience in building machine learning solutions in a commercial setting
  • Thorough knowledge of implementing supervised and unsupervised machine learning techniques
  • Production level Python, including building backends and command line tools
  • An enthusiasm for creating and optimising digital media
  • Quantitative degree from a top university


The following is DESIRABLE, not essential:

  • Candidates with previous experience with LLM models
  • Commercial Experience with Tensorflow / Keras
  • Developing cloud native systems
  • An enthusiasm for data visualisation and dashboarding


Benefits:

  • Making a serious impact from day one. We're an agile company at the forefront of digital content consumption, and your work will impact millions of people per day.
  • Competitive salary based on skills and experience
  • A great office located in Shoreditch right by Old Street Roundabout.
  • 5 days per week, 9am-6pm with performance-related bonuses
  • Social office environment located right by silicon roundabout. Dog friendly, with free coffee/tea and regularly scheduled events with other companies sharing our building.
  • Significant opportunities for growth. We are looking for a senior developer to become a key and pivotal part of our team, ample to grow this segment of our company and lead others in the future.


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Machine Learning Engineer

EC1A 2FG Bishopsgate, London Talent Hero Ltd

Posted today

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contract

UK BASED APPLICANTS ONLY/WE DO NOT PROVIDE VISAS

Talent Hero is a speed and quality driven recruiting agency, dedicated to placing the best UK remote professionals in remote positions with U.S.A businesses.

Candidates who apply through Talent Hero, once vetted, are introduced to hundreds of US companies actively building intelligent, AI-powered products. Well match you with the right role, at the ri.




WHJS1_UKTJ

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Senior Machine Learning Engineer

London Autodesk

Posted 18 days ago

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Job Description

**Job Requisition ID #**
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).
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Senior Machine Learning Engineer

London £80000 - £130000 annum ESL FACEIT Group

Posted 215 days ago

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Permanent

At EFG  (ESL FACEIT Group) we create worlds beyond gameplay, where players and fans become a community. We pride ourselves in having a corporate social responsibility which is that “IT’S NOT GG, UNTIL IT’S GG FOR ALL”.

Our passion, craft, and DNA align to create and shape the world of esports, gaming tournaments, leagues, events, and holistic ecosystems through our millions of players, fans, and heroes, as well as through our people and culture.

You’ll be joining the ML Ops Team, whose mission is to design, build, and evolve a world-class ML Ops platform that empowers Data Scientists and delivers value to EFG's Business teams. This is a rare opportunity to shape the architecture and technical execution patterns of a greenfield ecosystem.

We’re looking for an accomplished Senior Machine Learning Engineer who knows that the true mark of intelligence and experience is kindness, and the responsibility to use it to level up everyone around you.

EXPECTATIONS
  • Serve as a leader in tech
    • Ask all the whys, relentlessly until you know your customer needs inside-out and know you’re designing the right solution to the problems and not the other way around;
    • Partner with our stakeholders and serve as an internal consultant to foster the adoption of our data platform;
    • You contribute to the technical strategy of the team, and its execution through prioritization, and delivery management;
    • Set high standards across documentation, testing, resiliency, monitoring, and code quality. Enforce these standards by holding your team accountable;
    • You drive towards efficiencies and look for ways to simplify code, infrastructure and data models across the platform;
    • Inspire, teach and guide your fellow team members; lead design sessions, be there for a code review, take ownership of operational processes.
  • Excel as Senior Engineer
    • Write well-rounded, reusable and documented code that captures the essential nature of the solution;
    • Decompose ambiguous and open-ended problems into solutions composed of multiple tooling;
    • Construct complex architectures tying multiple services and SaaS tooling together, leveraging a strong understanding of a cloud-based stack (AWS, GCP);
    • Drive towards efficiencies, lowering our tech spend and tackling tech debt on a quarterly basis.
  • Personify our DNA
    • Exemplify the values we live by. Nurture a blameless culture. Know and care for your team members; inspire, and guide them to be the best that they can be;
    • Be the heart-first, people-first tech lead everyone wants to be around because you have invested in building relationships.

Requirements

  • Architecture
    • You’ve participated in shaping the architecture of a mature ML Ops solution and providing quantifiable business value;
    • You’ve run PoCs, planned large migrations of data and code, and participated in planning a roadmap multiple times before.
  • Engineering Hands-On
    • You have hands-on experience supporting the infrastructure required for an efficient ML workflow, from initial conception to development (DVC, Mlflow, etc.) to deployment (KServe, BentoML, TFX, etc.);
    • You have hands-on experience in building resilient batch (Airflow, Fivetran) and streaming (Kafka, Kinesis, Dataflow) data pipelines at scale (> 1 TB/day);
    • You can advocate passionately for your tried-and-true best practices of CI/CD (Github Actions, Jenkins)
    • You can build and maintain your own infrastructure through IaC (Terraform);
    • You preach operational procedures from data and infrastructure observability (Prometheus), alerting and incident management (PagerDuty, incident.io);
    • You are fluent in one or more high-level programming languages (Python, Scala);
    • Some experience in data modeling.
  • Tech Leadership
    • You’ve served as a leader in technology in the past; you’ve made mistakes and learned from them;
    • You have interacted with a large community of stakeholders before; you understand the business use cases and can tailor your communication to ICs and Senior Management.
Traits
  • You like to have a good time while getting things done. When we say a “team player” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours;
  • You love learning new things: You know that there’s always more to learn. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool;
  • Past experience in the Esports/Gaming/Betting/Events industry would be a great asset;
  • You make the time to cheer and enjoy the ride.
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Audio Machine Learning Engineer

EC1A, London Coders Connect

Posted 426 days ago

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Permanent

Coders Connect has partnered with an innovative start-up who are embarking on an incredible journey with an AI-powered song-generation platform.

A small, dynamic team in London is revolutionizing the music industry by creating fresh and captivating songs across various genres. As a Machine Learning Engineer, you'll dive into the heart of this groundbreaking project, working on the Desinging and implementation of Data Pipelines, research, finetune and develop state-of-the-art generative AI models. Embrace the endless possibilities as the platform extends to the Web (WASM), Android, iOS, and even virtual reality!

 

If your passion for music harmonizes perfectly with your Machine Learning skills, this opportunity is tailor-made for you! Don't miss out on this thrilling adventure. Apply and shape the future of AI music production!

About this role: The ideal candidate would be responsible for: Designing and Implementation of data pipelines : craft and enhance AI-powered data collection and processing pipelines Advance AI Models for Music and Singing generation :research, fine-tuning and developing state-of-the-art generative AI models Evaluate and quantify the results :provide quantitative and qualitative analysis of the collected data and evaluate AI models Explore and collaborate : read academic papers, explore open-source solutions, actively share and collaborate with a team of AI and DSP engineers What is our team currently working on? Developing AI singer : singing voice synthesis and singing voice conversion Improving music AI models : exploring text and melody conditioning for music generation Building with instruction-tuned LLMs :  for user's interactions with AI producer and lyrics generation Implementing the full music production pipeline :  music generation, mixing and masteringRequirements Experience with audio data and DSP : experience in handling audio data and expertise in digital signal processing Data pipeline development skills : background in building data collection and processing pipelines Python and ML Framework Proficiency : 1+ years of hands-on experience with Python and modern ML frameworks Desirables : Experience with generative AI models :  Diffusion models, GANs, VAEs, Transformers Musical background: Understanding of basic concepts in music theory and experience in either composing music or music production
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Machine Learning Engineer - Deep Learning

London Harnham

Posted 5 days ago

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Contract Data Scientist - Forecasting, Deep Learning, Causal AI (Retail)
 £600-700/day | 4 Months | Start ASAP | Inside IR35

RAPP is looking for a technically sharp, hands-on Data Scientist to join their agile consulting team supporting high-profile retail clients. This is a 4-month contract with the chance to work on impactful forecasting and causal AI projects within a fast-moving, agency-style environment.

What You'll Be Doing:

  • Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios

  • Applying causal and graph-based methods to understand and optimise customer behaviour

  • Working across the full stack of data science, from data wrangling to deployment

  • Operating within a modern MLOps setup (Docker, CI/CD, AWS)

  • Contributing to product-facing tooling (bonus if you've used JavaScript / Next.js / TypeScript)

What We're Looking For:

  • Strong practical knowledge of deep learning fundamentals - ideally with PyTorch

  • Experience building bespoke models for time series, tabular, image, or text data

  • Hands-on forecasting experience with retail or consumer datasets

  • Skilled in causal inference, graph AI, or reinforcement learning

  • Comfortable deploying models in production environments

  • Strong communicator, able to clearly explain technical choices and trade-offs

Nice to Have:

  • Exposure to JavaScript, TypeScript, or Next.js

  • Prior work in a startup, agency, or consultancy environment

This is a fast-paced project with immediate impact - if you're a data scientist who thrives on building models from scratch and solving tough commercial problems, this one's for you.

Desired Skills and Experience

Python, PyTorch, XGBoost, Deep Learning, Forecasting, Causal AI, Graph AI, Reinforcement Learning, Time Series, AWS, Docker, CI/CD
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Machine Learning Ops Engineer

London £65000 - £95000 annum YouLend

Posted 147 days ago

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Permanent

About Us

YouLend is the preferred global embedded financing platform for many of the world’s leading e-commerce sites, tech companies and payment services providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway and Takepayments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend's AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible and affordable funding. We operate in 9+ geographies across the UK, EU and the US.

We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future.

The Role:
As our ML Ops Engineer, you'll be the architect of robust processes to streamline and maintain our machine learning models in a dynamic production environment. You'll bridge the gap between research and deployment, ensuring our platform continues to deliver transformative results for our development partners. This role requires a blend of data engineering, software development, and an understanding of how to operationalize Machine Learning.

Requirements

  • Production Pipelines : Design, implement, and optimise scalable ML pipelines. This includes model training, validation, deployment, and monitoring.
  • Dataflow for Continuous Learning : Engineer efficient data infrastructure for handling simulation results and production usage data.
  • Alerting & Performance Monitoring : Set up systems to track model performance in production, creating alerts to flag potential accuracy degradation related to new geometries explored by our partners.
  • Automation & Tooling : Build and select tools to automate as many aspects of the ML lifecycle as possible, streamlining operations and model updates.
  • Collaboration is Key : Work closely with ML research engineers to understand new model advancements and integrate them into the production environment. Partner with software engineers for seamless platform functionalities.

Essential Skills:

  • ML in Practice : Proven experience building and maintaining operational ML systems.
  • Python Proficiency : Strong Python coding skills and familiarity with relevant ML/data engineering libraries.
  • DevOps Mindset : Understanding of CI/CD principles, containerisation (Docker, Kubernetes), and version control (Git).
  • Problem-Solving Approach : Ability to troubleshoot issues in complex ML pipelines and proactively address potential bottlenecks.

Desirable:

  • Experience with Youlend’s data stack: Terraform, AWS, Rackspace, Helmchart, Jenkins, Snowflake
  • Experience in financial services / lending

Benefits

Why join YouLend?

  • Award-Winning Workplace:  YouLend has been recognised as one of the “Best Places to Work 2024” by the Sunday Times for being a supportive, diverse, and rewarding workplace.
  • Award-Winning Fintech : YouLend has been recognised as a “Top 250 Fintech Worldwide” company by CNBC.

We offer a comprehensive benefits package that includes:

  • Stock Options
  • Private Medical insurance via Vitality
  • EAP with Health Assured
  • Enhanced Maternity and Paternity Leave
  • Modern and sophisticated office space in Central London
  • Free Gym in office building in Holborn
  • Subsidised Lunch via Feedr
  • Deliveroo Allowance if working late in office
  • Monthly in office Masseuse
  • Team and Company Socials
  • Football Power League / Squash Club

Salary: £65,000 - 95,000 + 20% annual bonus

At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.

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Machine Learning Engineer, Amazon Studios AI Lab

London Amazon

Posted 3 days ago

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Description
Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the world's leading digital video services, and we're just getting started changing the way millions of people around the world enjoy content. Now available in more than 200 countries and territories, Prime Video offers customers the broadest selection of any on-demand video service, including our critically-acclaimed Amazon Originals Series such as The Boys, The Marvelous Mrs. Maisel, The Underground Railroad; UK-produced hit Amazon Original series like Good Omens, The Grand Tour, All or Nothing and Premier League football.
Amazon Studios is the movies and television development and production arm of Amazon. It is our role to produce original content and license studio programs worldwide in exclusive service of Amazon's Prime Video customers. We need your passion, innovative ideas, and creativity to help take us to new heights.
Do you like inventing, growing and learning from world-class engineers and scientists? If so, we want to hear from you!
This a hybrid applied science and engineering team that is developing bleeding edge AI solutions to enhance efficiency, elevate creativity, and ultimately redefine industry standards, ensuring that every decision is accelerated by intelligence and foresight. We need your passion, innovative ideas, and creativity to help take us to new heights.
The solutions we're building are demanding. Collaborating with teams across Amazon and world leading universities we create novel algorithms to automate workflows and innovate on behalf of our studios customers. This requires the use of the latest technologies across foundational models, transformer based architectures, image processing, image analysis, computer vision and machine learning. We need to optimise those algorithms to run accurately and efficiently. The scope of our charter means we're also utilising techniques such as contextual understanding and correction, to ensure the highest levels of video quality for our customers. The range of problems we have to solve in our space, and the enormous potential to positively impact Amazon Studios' ability to scale, provides a breath of opportunities for MLEs to grow and develop their skills.
Key job responsibilities
You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also contribute to publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.
About the team
The team is based in Amazon's engineering centre in London and consists of engineers with a variety of backgrounds, from seasoned Amazonian to newly hired; a mix of applied scientists, AWS experts and generalists, but all of us are learning and growing. We work closely with other Prime Video engineering and science teams, including teams based on the US west coast as well as in London.
Basic Qualifications
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in one or more of the following: machine learning, multimodal models, computer vision, natural language processing and audio/signal processing.
Preferred Qualifications
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
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.
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