15 of 15 Machine Learning Engineer Jobs in London

Lead Machine Learning Engineer 💸 £120,000–£130,000 🌍 One day a week in London (exceptional circumstances could allow one day a month) 📈 Equity Options 🏖️ 25 Days Holiday + Bank Holidays 💰 Pension matched up to 7% ✈️ Work abroad for up to 3 months Drive Innovation. Lead the Future of Machine Learning/AI Engineer Are … you ready to lead a world-class Machine Learning team delivering cutting-edge, production-grade systems? We're looking for a Lead Machine Learning Engineer — a "plug-and-play" leader with proven experience in people management and deep technical expertise — to shape the direction of our GenAI and retrieval-focused streams. This is a leadership … role where you’ll not only design and build advanced machine learning solutions but also line-manage engineers, coordinate delivery across high-impact ML projects, and define the technical bar across the team. Your compensation reflects both the strategic leadership scope and technical excellence expected in this role. What you'll be doing: Lead and manage a team More ❯

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience … 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 More ❯

the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you … development of our Virtual Agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to More ❯

Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent Automation Team of 50. Following a period of … plus a strong benefits package. The position is hybrid, typically one day per week on site in London (with flexibility around which day). The Role Reporting to the Machine Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building and deploying ML solutions at scaleparticularly in NLP … Terraform). A test-driven development mindset and commitment to engineering quality. Broad understanding of ML approaches, with the ability to explain methods clearly: Regression, clustering, decision trees, reinforcement learning Gradient boosting, CNNs, RNNs, LSTMs Attention models, encoder/decoder architectures, transformers, vector semantics Demonstrable experience developing GenAI applications in real-world settings. The confidence to communicate complex technical More ❯

Machine Learning Engineer - Canary Wharf - 75k - Hybrid A leading organisation is expanding its AI capability and is looking for a Machine Learning Engineer to help build and scale next-generation NLP and Gen AI solutions. This role sits at the heart of an established data function, working on real production workloads rather than prototypes. … LLMs and ML-driven services are designed, deployed and continuously improved. What you'll be working on * Designing and delivering Gen AI and LLM-driven applications* Building and maintaining machine learning pipelines and data workflows* Developing cloud-native (serverless) ML components within a distributed engineering team* Improving existing ML systems and identifying opportunities for optimisation* Supporting sprint planning … and working with common architecture patterns* Background in serverless data/ML pipelines (Azure preferred, AWS/GCP welcome)* Proficiency in SQL and NoSQL data stores* Broad understanding of machine learning methods (regression, tree-based models, clustering, deep learning, attention models, transformers, vector representations)* Ability to explain technical concepts clearly to a range of stakeholders* Confidence estimating More ❯

A leading buy-side firm, is looking for a Machine Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Key Responsibilities Design and implement distributed training pipelines … handling high-volume data and complex model architectures Develop low-latency inference systems providing real-time, high-accuracy predictions in production Optimise and extend machine learning frameworks to improve training and inference performance Leverage GPU programming (CUDA, cuDNN, TensorRT) to maximise efficiency Automate model experimentation, tuning and retraining in partnership with research teams Work with infrastructure specialists to … optimise workflows and reduce compute costs Assess and integrate emerging open-source tools to enhance ML development and deployment Skills and Experience 5+ years’ experience in machine learning with a focus on training and inference systems Strong programming expertise in Python and C++ or CUDA Proficiency with PyTorch, TensorFlow or JAX Hands-on experience with GPU acceleration and More ❯

Data Scientist & Machine Learning Engineer - Fully Remote We are currently working on a fully remote, data-driven gaming & entertainment company that's scaling its Data Science and Machine Learning capabilities across Europe. The business has around 100 employees globally and is deeply invested in analytics, experimentation, and automated decision-making.They're now hiring for: Senior … CLV, recommendations), and game-economy optimisation. The role involves significant ownership and frequent interaction with C-level stakeholders, so strong communication and statistical depth are essential.Tech: Python, SQL, GCP. Machine Learning Engineer Focused on deploying, maintaining, and monitoring ML systems. You won't be building models but will work closely with DS and engineering teams to ensure More ❯

the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond The role We are now looking for a Machine Learning Research Engineer to help build and deliver a platform that can automatically create Virtual Agents for operational processes currently undertaken manually using browser-based UIs. An … our customer-facing technical teams Utilise best-in-class capabilities to deliver these capabilities Research, invent and create novel capabilities where gaps in industry require it Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Contribute full-stack development, including software engineering, DevOps, and … are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive AI and machine learning expert who is familiar with leveraging and creating AI capabilities and who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills are More ❯

MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratize health for all. #LI-PRIO About the role Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and … scientists, and commercial leads to solve critical client challenges. Leading technical scoping and architectural decisions to ensure project feasibility and impact. Defining and implementing Faculty's standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. You've worked with container and orchestration tools such at Docker More ❯

TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As the Staff Machine Learning Engineer (VP) on the ML Engineering team, you will be responsible for designing, deploying, and scaling advanced ML systems that power core business functions across the … pipelines that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will act as a technical thought leader and strategic partner, shaping the organization's machine learning engineering practices and fostering a culture of operational excellence, reliability, and responsible AI adoption. Responsibilities: Architect and deploy ML systems and platforms that solve high-impact business … to optimize systems in production. Mentor and coach ML engineers, fostering technical excellence, collaboration, and innovation within the AI Science team. Requirements 8+ years of experience building and deploying machine learning systems in production environments at enterprise or platform scale. Proven track record of leading ML engineering projects from architecture to deployment, including ownership of production-grade systems. More ❯

it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for a Machine Learning Engineer II to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. … You'll drive game-changing initiatives that use cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools. At Hudl, ML Engineers: Deliver for customers at scale. You'll contribute to ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports More ❯

Bonhill Partners are supporting a leading Systematic Trading firm in London as they grow their AI/ML Solutions division. The organisation is seeking a Machine Learning Platform Engineer to build and scale the next generation of MLOps and ML engineering capabilities across the business. This is a greenfield role, offering significant influence over tooling, standards, and … pipelines, enhance ML development environments, and upskill internal teams on modern software and MLOps practices. Key Responsibilities Design, deploy, and refine automation and CI/CD workflows to support machine learning and data pipelines Build scalable MLOps frameworks and champion best practices across DataOps, ModelOps, and ML lifecycle management Educate and mentor Researchers and Developers on clean code … engineering workshops Maintain and contribute to internal training repositories, documentation, and shared platform components Collaborate with cross-functional engineering and data teams to expand platform capabilities and improve reliability Engineer cloud-based solutions leveraging containerisation and infrastructure-as-code to support scalable ML systems Skills & Experience Strong programming background in Python (and/or C++) Proven experience with CI More ❯

Overview Chambers and Partners is transforming how the world’s leading legal professionals access insight and intelligence and we’re looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you’ll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. … entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines . Build LLM apps using LangGraph/LangChain : tools/function calling, structured outputs More ❯

understand and interact with the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that More ❯

from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the role As a ML Performance Engineer in the AI & GPU Performance team you will contribute to the design and development of high performance solutions. You will join a team of 40+ Researchers and Engineers within … This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe. What will you be doing? As a ML Performance Engineer in the AI & GPU Performance team you will contribute to the design and development of high performance solutions. You will own one or more projects for computationally optimizing large … data parallelism, and mixed-precision training Keeping updated on the latest research in model compression (e.g., quantization, pruning) and advanced optimisation methods Who are you? You are a ML engineer passionate about high performance computing You have a background in Computer Science/Engineering and 3+ years of industry experience. (PhD preferred) You have worked on optimising large models More ❯