Machine Learning Jobs

Wayve · London

Builds Python services and microservices that orchestrate the end-to-end model-release workflow, integrating feature candidates into release branches and automating readiness checks before training. Connects training platforms, simulation and on-road testing, surfacing quality gates and approvals, and productionises services on Azure and Kubernetes with strong observability. Works across Model Engineering, MLOps, Measurement, Evaluation, Simulation and Release Management.

DCV Technologies · Manchester · £550 – £600 pd

Contract role building and deploying scalable AI/ML applications in a cloud environment, with hands-on work in Python, PyTorch and GCP. Involves Generative AI solutions using transformer architectures, RAG and agent frameworks like ReAct, plus MLOps tasks such as CI/CD pipelines, model registries, monitoring and drift detection. Also covers containerising models with Docker, KServe and Vertex AI, GPU scheduling and canary or shadow deployments.

Tenth Revolution Group · London · £80,000 – £110,000 pa

Owns and shapes a cloud data platform as an initial senior individual contributor, designing scalable AWS-based architectures, ETL/ELT pipelines and analytical datasets. Builds APIs and trusted data products for enterprise clients while supporting machine learning and AI initiatives, with governance, lineage and observability standards. Works with Product, Engineering and Data Science, with scope to build and lead a future data team.

Rise Technical Recruitment · London · £80,000 – £120,000 pa

Builds, fine-tunes and evaluates LLM, agentic AI and computer vision systems for financial crime compliance, including benchmarks, back-testing frameworks and human-feedback improvement loops. Works closely with engineering and product teams, with significant ownership over AI development and product direction.

ARM · Dublin, Ireland

Lead the architecture, deployment and operation of a large-scale AI/ML platform spanning conventional ML and agentic AI. Own the platform roadmap, MLOps/LLMOps practices, CI/CD and IaC standards, and Azure-based infrastructure, while mentoring engineers and acting as senior escalation point. Hands-on leadership role combining coding with technical strategy and architecture decisions.

CONVENTUS SOLUTIONS LIMITED · Cyprus

Bridges research and production engineering, deploying and testing computer vision and ML systems for object tracking, automated monitoring and intelligent triaging in live environments. Owns the full data lifecycle, from specialised data collection to high-quality labelling, and briefs non-technical stakeholders and senior leadership on capability. Requires active DV clearance and sole British nationality, with relocation to Cyprus covered.

PhysicsX · San Francisco, United States · US$150,000 – US$190,000 pa

Delivery-focused role embedding physics-aware AI models into customer tools, building reliable ML data pipelines and working with 3D point-cloud and mesh data. Spans data science and software engineering, translating R&D into reusable libraries and products, with regular on-site customer travel.

PhysicsX · New York, United States · US$150,000 – US$190,000 pa

Builds and deploys machine learning systems for industrial physics challenges, designing reliable data pipelines and working with 3D point-cloud and mesh data. Partners directly with customers on-site to embed AI models into practical tools, translating R&D outputs into reusable libraries and products. Requires Python, cloud, and MLOps experience with frequent travel.

Databricks · London

Customer-facing role building and productionising data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams from engineers to executives, delivering production-grade reference architectures and reusable accelerators, with around 20% travel.

Databricks · London

Customer-facing role building and productionizing data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams, leads technical delivery with project managers, and contributes reusable frameworks back to the product. Involves up to 20% travel to customer sites.

Speechmatics · London

Owns the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Speechmatics · Cambridge

Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.

MFK Recruitment · Brentford · £70,000 – £95,000 pa

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers. Translate AI research into robust, real-world applications for defence and security environments. Work across the full development lifecycle, from research to deployment on cloud and edge platforms.

WeDoTech · London · £120,000 – £160,000 pa

Hands-on technical leadership role building and scaling enterprise Generative AI, LLM and agentic AI systems across multiple engineering teams. Involves designing production-grade RAG and multi-agent solutions, shaping reusable AI frameworks and standards, and ensuring reliability and governance in a regulated financial services environment.

McGregor Boyall · London · £115,000 pa

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.