Machine Learning Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

CureAge Therapeutics · London

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

Harnham - Data and Analytics Recruitment · London · £75,000 – £85,000 pa

Own and develop the MLOps infrastructure behind a growing AI platform, building orchestration pipelines with Dagster, Airflow or Prefect and deploying ML workloads on Kubernetes and cloud. You will implement CI/CD, observability and monitoring, manage infrastructure as code with Terraform or Bicep, and work closely with Data Scientists and ML Engineers to scale production ML, NLP and AI systems.

Adria Solutions · Huddersfield · £35,000 – £45,000 pa

Supports AWS infrastructure, CI/CD pipelines and automation for software and machine learning workloads, including packaging, versioning and deploying ML models. Works with software and AI engineers to keep development, testing and production environments consistent, monitoring pipelines and fixing issues. Suits an early-career engineer with cloud, scripting and Git foundations.

Ncounter · Reading · £120,000 – £140,000 pa

Hands-on engineering leadership role overseeing a multidisciplinary team of software, platform and DevOps engineers. You'll own technical architecture and standards across cloud-native applications, AI/ML platforms and MLOps, staying close to delivery while shaping technical strategy for National Security and Defence customers.

Harnham - Data and Analytics Recruitment · London · £75,000 – £85,000 pa

Owns and evolves the platform infrastructure behind AI services, designing scalable MLOps systems and deploying models on Azure ML and AKS. Builds orchestration pipelines for training, inference, monitoring and retraining, plus CI/CD and observability tooling, while driving Responsible AI governance across engineering and consulting teams.

Ncounter · Reading · £120,000 – £140,000 pa

Hands-on engineering leadership role at a consultancy working in AI, ML and cloud-native engineering for National Security & Defence. You'll lead a multidisciplinary team of software, platform and DevOps engineers, own technical architecture and standards, and stay close to delivery across CI/CD, Terraform, Kubernetes, AWS/Azure/GCP and MLOps. Distinct for combining people leadership, architectural ownership and commercial input, with scope to influence technology strategy.

Databricks · London

Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and AI workloads on the Databricks Data Intelligence Platform. Specialise in GenAI solutions such as RAG architectures, agentic systems and AI observability, while mentoring colleagues and influencing the platform's AI roadmap.

DCV Technologies · Manchester · £550 – £600 pd

Contract role building and deploying scalable AI/ML and Generative AI solutions on Google Cloud Platform. Day to day involves Python and PyTorch development, RAG and agent frameworks like ReAct, plus containerising models with Docker, KServe and Vertex AI endpoints. Also covers MLOps work such as CI/CD pipelines, model registries, monitoring, drift detection and GPU cost optimisation.

C4S Search Ltd · London · £600 – £650 pd

Design, build and deploy machine learning models into production, with a focus on recommendation systems covering ranking and search optimisation. Work alongside data scientists, engineers and product stakeholders, maintaining MLOps pipelines and ensuring scalability of ML systems on Azure. Six-month contract within a hybrid North London team.

WeDoTech · London · £800 – £1,000 pd

Senior hands-on staff engineer driving adoption of Agentic AI and production ML across multiple engineering teams. Responsible for designing production-grade AI/ML systems, RAG and retrieval architectures, LangGraph/LangChain patterns, plus evaluation, observability, guardrails and MLOps standards. Influences technical direction without direct line management in a regulated, high-risk environment.

NES Group Ltd · London

Builds ML and graph-based identity resolution where rule-based matching falls short, improving customer-spine architecture and reducing identity drift. Defines matching-quality metrics, supports golden-layer integration and delivers a reusable identity-resolution framework. Requires entity resolution, fuzzy matching, MLOps and feature-store skills plus Customer Master/MDM experience.

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.

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.

Softweb Resourcing · London · £100,000 – £150,000 pa

First dedicated AI hire at a pre-seed video and computer vision startup, owning AI engineering end-to-end and working directly with the founders. The role focuses on production LLM and agentic workflows, evaluation frameworks, and AI-powered video tools for large-scale media environments, with high autonomy and influence over technical direction.

Databricks · London

Customer-facing engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems across data engineering, ML/AI and application development, embedding with client teams and travelling to customers around 20% of the time.

Adecco · Cambridge

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures on cloud platforms. Requires a strong engineering background and proven leadership in high-growth environments.