Machine Learning Jobs

38 jobs for “mlops”

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Databricks logo

Databricks · 1001–5000 people · Late stage

Senior Forward Deployed Engineer

  • London
  • Hybrid
  • Senior

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 from technical ICs to executives, delivering production-grade systems, reference architectures and reusable accelerators, with around 20% travel to customer sites.

Databricks · AWS · Azure +7

Last week
Databricks logo

Databricks · 1001–5000 people · Late stage

Lead Solutions Architect - Generative AI (EMEA Emerging DNB)

  • United Kingdom
  • Remote
  • Lead

Customer-facing technical authority for Generative AI across EMEA digital-native and startup accounts, shaping architectures and de-risking LLM use cases from RAG and agentic systems to fine-tuning and evaluation. Builds hands-on proofs of concept on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog) and mentors a ~70-person field engineering organisation.

Databricks · Mosaic AI · MLflow +7

Last month

Rise Technical Recruitment

Senior AI Engineer

  • London
  • On-site
  • £90,000 – £120,000 pa
  • Senior
  • Permanent

Design and build full-stack AI-powered product features spanning front-end, back-end, AI and infrastructure, including LLM, computer vision and agent-based systems. You will create evaluation, testing, prompt engineering and fine-tuning frameworks, working across DevOps and MLOps with Product and Engineering teams on financial crime compliance tooling.

TypeScript · React · Node.js +1

Last week

Ocado · 501–1000 people · Public

Senior Software Engineer - Data & ML

  • London
  • Hybrid
  • Senior

Owns the software engineering that brings data science and machine learning products into live production for the Autoplanner team, building AI-powered planning systems across global warehouses and last-mile assets. Writes typed, well-tested Python (with some Java for OSP integration), builds APIs and data contracts, manages AWS deployments and CI/CD, and packages, serves and monitors ML models. Acts as engineering partner to data scientists and shares on-call support.

AWS · GCP · Ocado Smart Platform

3 weeks ago

Aioi Nissay Dowa Europe

Lead Machine Learning Engineer

  • Oxford
  • Hybrid
  • £81,322 – £112,488 pa
  • Lead · manages people
  • Permanent

Dual role combining line management of a growing ML engineering team with hands-on technical delivery across multiple client engagements. You'll shape ML engineering practice, lead multidisciplinary teams, oversee solution design and quality assurance, and support pre-sales and use case discovery alongside commercial teams.

2 weeks ago

Spencer Rose

Data Scientist - Coach AI

  • Bristol
  • Hybrid · 2 days in office
  • £450 – £480 pd
  • Senior
  • Contract

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Works across NLP, computer vision and voice AI, building ML pipelines and production deployment with MLOps, guardrails and Responsible AI governance. Also acts as senior lead, grooming the internal team and collaborating with stakeholders.

TensorFlow · PyTorch · OpenAI +5

3 weeks ago

Wayve · 11–50 people · Series A

Model Release Engineer

  • London
  • Hybrid
  • Permanent

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.

Azure · Kubernetes · React +1

Visa sponsorship Last month

MFK Recruitment

Senior Computer Vision Engineer - Deep Learning

  • Brentford
  • Hybrid
  • £70,000 – £95,000 pa
  • Senior
  • Permanent

Hands-on role designing and deploying production computer vision systems using CNNs and Vision Transformers, from model architecture and training pipelines to optimisation for cloud and edge. Works alongside software engineers, researchers and customers, translating recent AI research into reliable products for defence and security environments.

PyTorch · TensorFlow · Git +6

SC clearance 2 weeks ago

Tenth Revolution Group

Lead Data Engineer

  • London
  • Remote
  • £80,000 – £110,000 pa
  • Lead

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.

AWS · Power BI · Tableau +2

3 months ago

Hays Technology

Lead AI Engineer

  • United Kingdom
  • Hybrid · 1 day in office
  • £90,000 – £100,000 pa
  • Lead
  • Permanent

Hands-on technical lead for a large-scale AI programme, turning architectural direction into production-grade systems across complex legacy and multi-cloud environments. Builds RAG pipelines, semantic search, embedding infrastructure and orchestration layers, sets coding standards, mentors engineers and embeds Responsible AI guardrails, security and observability.

LangChain · LlamaIndex · AWS +3

2 weeks ago

Synoptix

Senior Software Engineer

  • Gloucestershire
  • Hybrid
  • £51,000 – £60,500 pa
  • Senior

A varied engineering role spanning research, product and service development, with a focus on AI and computer vision (object detection and tracking). You lead software design, development, testing and deployment within multidisciplinary teams, and act as a subject matter expert advising clients on architecture. Python and C++ on Linux, with DevOps, MLOps and SDLC practices.

Red Hat · Ubuntu · Pandas +6

Clearance required Last month

Harnham - Data and Analytics Recruitment

Head of Data Science

  • London
  • Hybrid
  • £120,000 – £150,000 pa
  • Director · manages people

Lead and build a data science function at a fintech, owning strategy across risk, affordability and lending decisioning. Hands-on work designing and deploying machine learning models using credit risk, Open Banking and customer data, with a focus on model governance, MLOps and AI-powered decisioning alongside Product, Engineering and Credit Risk teams.

Python · SQL · MLOps +1

2 weeks ago

Harnham - Data and Analytics Recruitment

Principal Machine Learning Engineer

  • France
  • Hybrid · 2 days in office
  • €130,000 – €150,000 pa
  • Lead

Define the technical direction of large-scale production ML systems while remaining hands-on across the full model lifecycle, leading end-to-end initiatives in recommendation systems, audience targeting, bidding optimisation and customer lifecycle modelling. Work directly alongside the CTO in a high-scale real-time AdTech environment, combining technical strategy, platform engineering and applied ML as an individual contributor leader rather than a people manager.

PyTorch · TensorFlow

3 months ago

Appcast Enterprise

Senior AI Engineer

  • 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

Last month

PhysicsX

Machine Learning Engineer

  • San Francisco, United States
  • Hybrid
  • US$150,000 – US$190,000 pa
  • Mid-level

Builds and deploys machine learning pipelines for industrial physics applications, working directly with customers on-site to embed AI models into practical tools. Involves manipulating 3D point-cloud and mesh data, cloud and HPC infrastructure, and translating R&D outputs into reusable libraries and products.

TensorFlow · MLflow · Spark +6

2 days ago

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