Machine Learning Jobs in Woking

Synthesia · UK Remote

Shapes how the company appears in experiential moments worldwide, designing booths, spatial environments, signage, print and merchandise from concept through production. Develops cohesive event identities across physical and digital touchpoints, storyboards motion content for keynotes, and art-directs external vendors and fabricators. Sits in a seven-person brand design team with low process and high ownership, requiring travel across Europe and the US.

NVIDIA · United Kingdom

Technical account manager role focused on a small set of strategic software companies, driving adoption of NVIDIA's AI and accelerated computing platform. Involves hands-on work with agentic AI, open models, SDKs, NIMs and blueprints, plus developer advocacy, ecosystem mapping and representing NVIDIA at events.

NVIDIA · United Kingdom

Hands-on development of kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. The role involves hardware/software co-design with software, hardware and research teams, and scaling datacenter AI deployments, with heavy use of MLIR, C/C++ and Python.

NVIDIA · Cambridge

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale neural network workloads onto future hardware. Involves LLVM/MLIR work, graph transformations, scheduling and memory/layout optimizations, plus close collaboration with hardware architects on co-design.

Harnham - Data and Analytics Recruitment · London · £90,000 – £120,000 pa

Embedded in portfolio companies to deliver data science and machine learning initiatives, partnering with C-suite stakeholders to define problems with measurable commercial value. You own projects end to end, from discovery and modelling through deployment and scaling, across use cases like pricing, sales optimisation and fraud reduction. The role sits in a deployment team within an investment and private equity ecosystem, balancing technical rigour with pragmatic delivery.

eFinancialCareers · London

Lead the creation of a hedge fund's machine learning function, defining research strategy and hiring a team of ML researchers and engineers. Direct work spans deep learning, reinforcement learning, probabilistic and time-series modelling, and generative AI, applied to alpha generation, forecasting, portfolio construction, risk and execution. The role blends hands-on technical direction with strategic leadership.

eFinancialCareers · London

Join a proprietary trading firm's research team applying machine learning, statistics and probability to financial markets. You will build predictive and probabilistic models on large, noisy datasets, design rigorous experiments, and work with quant researchers, traders and engineers to move successful models toward production.

CMC Markets · London

Hands-on role building the systems around machine learning: repeatable training and deployment workflows, CI/CD pipelines, model registries and versioning, plus batch and online inference services in containerised cloud environments. You'll monitor service health, data quality, drift and model performance, and investigate production issues across models, infrastructure and data dependencies, working with research, platform, security and product teams.

eFinancialCareers · London · £84,000 – £126,000 pa

Joins the Data Analytics Team within the EMEA Data Management Office to build out data science capability, developing proofs of concept that show where machine learning and statistical modelling can deliver measurable business value. Works hands-on with Python across the full data science lifecycle, from exploratory analysis and feature engineering to model evaluation, while translating business problems into analytical use cases and presenting findings to technical and non-technical stakeholders. Requires comfort with ambiguity and siloed, disconnected data, plus mentoring colleagues and establishing reusable standards and best practices.

eFinancialCareers · London

This role involves partnering with the research team to develop and refine intraday and systematic trading strategies using statistical arbitrage. You will analyze large-scale market data, build predictive models, and collaborate with technology teams to integrate these models into advanced trading infrastructure. The position is ideal for those who want to be involved in all aspects of the research, trading, and coding process in a collaborative start-up environment.

eFinancialCareers · London

This role involves developing and maintaining data engineering and prediction tools for systematic equities trading. You will work closely with the Senior Portfolio Manager and quantitative research team to build robust data pipelines, validate data integrity, and implement large-scale computational systems.

AECOM · London

Owns the roadmap and delivery of AI products for transportation, working at the intersection of transport engineering, ML/RL, optimisation and software engineering. Leads a small technical team from problem definition to deployed product, translating domain knowledge into requirements and testing capabilities on live infrastructure projects.

Appcast Enterprise · Cork, Ireland

Lead the design and deployment of scalable AI solutions, including LLM-powered applications such as enterprise search, document summarization and conversational AI. Work spans model fine-tuning, prompt engineering, RAG architectures with vector databases, and MLOps deployment, while mentoring engineers and shaping enterprise AI strategy. Hybrid role based in Cork with three days per week in the office.

NVIDIA · United Kingdom

Develop algorithms and optimizations for NVIDIA's LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning. The role involves building high-performance runtime and compiler components, mapping inference workloads onto future hardware, and collaborating with hardware architects on codesign. Distinct focus on LLVM/MLIR, graph transformations, and spatial accelerators.

Appcast Enterprise · Sunbury-on-Thames

Designs, builds and operates scalable cloud data platforms, ELT/ETL pipelines and analytical datasets supporting Finance, with Azure and Databricks/Fabric/Snowflake preferred. Combines strong software engineering (CI/CD, testing, automation) with data modelling, governance and technical leadership, mentoring engineers and working with product, architecture and Finance stakeholders.