Machine Learning Jobs

• London
• Hybrid · 2 days in office
• £85,000 – £90,000 pa
• Senior

Builds and scales customer-facing data products on an Azure Databricks lakehouse, combining Spark pipelines, Unity Catalog governance and LLM features such as RAG, semantic search and recommendation engines. Acts as a bridge between product, commercial and engineering teams, mentoring juniors and shaping data monetisation strategy.

Azure Databricks · Azure · Unity Catalog +7

• London
• Hybrid
• £50,000 – £60,000 pa
• Mid-level

Design, build and deploy scalable data pipelines on the Databricks Lakehouse Platform, working across the full engineering lifecycle from requirements gathering to deployment and optimisation. Build data models supporting reporting, analytics, ML and AI use cases, and implement governance and data quality practices within a consulting team delivering enterprise-scale platforms.

Databricks · Delta Lake · Azure +2

• United States
• Hybrid · 3 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM-powered workflows into production, making key architectural decisions within a small AI and Innovation team.

Python · React · TypeScript +1

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Senior

Build and deploy customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. The role spans rapid prototyping, backend development with Python/FastAPI microservices, and cloud deployment using Kubernetes, Terraform and AWS/Azure, with frequent on-site travel to customer sites.

FastAPI · Helm · Kubernetes +3

• New York, United States
• Hybrid
• US$90,000 – US$130,000 pa
• Mid-level

Customer-facing role owning the full account journey for industrial clients, from onboarding and change management to executive reviews and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate engineering challenges into AI solutions, while building internal tooling to scale account operations.

• Switzerland
• Remote
• Senior

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-accelerated algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.

CUDA · DALI · nvImageCodec +1

• Cork, Ireland
• Hybrid · 3 days in office
• Senior

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.

Azure OpenAI · Azure ML · Hugging Face +7

• London
• Entry level

New-grad engineers join a cohort to build infrastructure and products across backend, full stack, infrastructure, databases, systems, cloud and customer-facing teams. You own the full development lifecycle — design, development, testing and production operations — with a dedicated mentor and a focus on reliability, scalability and security.

Databricks · Genie · Lakebase +4

• London
• Senior
• Permanent

Lead technical direction and delivery of complex enterprise AI engagements, shaping solution roadmaps with senior stakeholders and making architecture and engineering trade-offs. Design and implement production AI solutions on AWS spanning application, data, integration, security and operations, while establishing evaluation and responsible AI controls. Also mentors, sets technical standards and builds reusable assets for the Data & AI practice.

AWS

• London
• Senior

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Involves low-level systems debugging, performance optimisation on large production clusters, architecture design, and technical leadership including mentoring and sprint planning.

Delta Lake · Databricks · Apache Iceberg +2

• London
• £90,000 – £110,000 pa
• Senior

Designs and optimises multi-threaded C++ pipelines for image processing, computer vision and rendering, tuning algorithms for spatial analysis, sensor alignment and scene reconstruction. Uses parallel computing and GPU acceleration to hit strict performance targets, builds cross-platform production software, influences architecture and joins a support rota. Works on a core platform being built from the ground up.

C++17 · Git · CMake +5

• London
• Hybrid
• £115,000 pa
• Lead

Hands-on role designing, developing and deploying production-grade Generative AI and Agentic AI solutions within a global technology consultancy's Data & AI practice. Combines Data Science and Machine Learning foundations with modern software engineering, including Python APIs, microservices, RAG architectures, vector databases and MLOps, while influencing solution architecture and working directly with clients on AI transformation projects.

LangGraph · CrewAI · AutoGen +7

• Cambridge
• On-site
• £40,000 – £70,000 pa

Work across the full machine learning lifecycle, from concept and architecture through data collection, training, integration, testing and evaluation. Models are integrated with in-house electronics to produce prototype and demonstrator units, spanning computer vision, generative models and novel methods across multiple domains.

TensorFlow · PyTorch · CUDA +1

• London
• Hybrid · 1 day in office
• £325,000 – £390,000 pa
• Senior

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, databases, observability and developer tooling, partnering with research and product teams while owning reliability, scalability and security.

Kubernetes · AWS · GCP +6

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Partner directly with Digital Native customers to design, build and deploy AI-powered products, taking ideas from early experimentation through evaluation, production launch and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions on model behavior, reliability, latency, cost, safety and governance.

OpenAI