Machine Learning Jobs

455 jobs for “Engineering”

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PhysicsX

Data Scientist

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  • New York, United States
  • Hybrid · 2–3 days in office
  • US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation engineers and customers. Owns data pipelines and production-ready models, and travels to customer sites roughly 3-4 weeks per quarter to co-develop solutions on-site.

NumPy · SciPy · Pandas +2

Clearance required Last month

PhysicsX

CFD Multiphase & DEM Engineer

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  • Singapore
  • Hybrid
  • Lead

Develops multiphase CFD and DEM models for industrial bioprocess and chemical engineering applications, covering gas-liquid, solid-liquid, VOF and Euler-Euler/Euler-Lagrange approaches, non-Newtonian rheology and coupled reactive physics. Owns meshing strategy, parametric CAD-coupled simulation pipelines, HPC-scale transient runs and surrogate/ML-CFD workflows, working directly with customers to scope and validate models against experimental data.

Star-CCM+ · OpenFOAM · Fluent +5

2 weeks ago

OpenAI

Software Engineer, Guardian

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  • London
  • Hybrid
  • Mid-level
  • Permanent

Design and build production systems that evaluate AI agent behaviour in real time, detecting risky actions and enabling safe recovery or escalation. Work spans architecture, implementation, evaluation and operations, partnering closely with alignment researchers to turn prototypes into scalable safety capabilities across OpenAI products.

OpenAI

Clearance required 5 days ago
Anthropic logo

Anthropic · 51–200 people · Series B

Research Engineer, RL Scaling Science

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  • London
  • Hybrid
  • £375,000 – £640,000 pa

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon grow, and builds benchmarks that make long-horizon progress measurable. Sits at the boundary between research and engineering, debugging failures that only appear at frontier scale and shipping validated findings into production training recipes alongside adjacent RL teams.

Visa sponsorship 2 months ago

OpenAI

Applied AI Architect, OpenAI for Government

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  • London
  • Hybrid · 3 days in office
  • Senior
  • Permanent

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures covering models, data, integration, security and governance while coordinating specialists across deployment, product and partners.

ChatGPT Enterprise · OpenAI API · Codex +1

Clearance required 2 weeks ago
Anthropic logo

Anthropic · 51–200 people · Series B

Applied AI Engineer, Startups

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  • London
  • Hybrid · 1 day in office
  • £225,000 – £255,000 pa
  • Senior

You'll act as a trusted technical advisor to high-growth startups building on the Claude Developer Platform, pairing with customer engineering teams on architecture reviews, code contributions and agent design. The role blends hands-on LLM engineering—evaluation frameworks, prompting, deployment—with developer-facing content, workshops and hackathons, feeding insights back to Product and Engineering.

Claude · Claude Developer Platform

Visa sponsorship Last month

Wayve · 11–50 people · Series A

Senior Machine Learning Engineer, ADAS

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  • London
  • Hybrid
  • Senior
  • Permanent

Train, debug and improve computer vision and 3D perception models for driver assistance, working across the full ML lifecycle from data and training to evaluation and iteration. The role spans latency-constrained on-car perception and large-scale offline work with lidar, maps and extra compute, building auto-labelling pipelines that feed a data flywheel.

LiDAR

Visa sponsorship 3 weeks ago

Wayve · 11–50 people · Series A

Senior Machine Learning Engineer, AV Core

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  • London
  • Hybrid
  • Senior
  • Permanent

Lead large-scale data enrichment and curation for the Core Model Safety team, collaborating across pre/mid-training, reward modelling and self-supervised labelling. Build workflows for hard and rare event mining, design out-of-distribution detection for driverless operation, and improve ML operations efficiency across model engineering, infrastructure and compute.

PyTorch · CUDA · VLM +1

Visa sponsorship Last month

Cambridge Consultants

Graduate AI Engineer (2027 start)

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  • United Kingdom
  • Entry level

Join the AI & Algorithms department to build intelligent systems, coding hands-on and training/testing models for client projects across robotics, radar, photonics and engineering biology. Work in mixed-discipline teams attending stand-ups and planning sessions, while contributing to internal R&D that turns state-of-the-art literature into market-leading solutions and client demonstrations.

LLM · VLM · VLA

Last month

Ocado · 501–1000 people · Public

Senior Software Engineer - Data & ML

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  • 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

2 weeks ago

Ocado · 501–1000 people · Public

Maintenance Engineer- FC04

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  • Forest Park, United States
  • On-site
  • Mid-level
  • Permanent · Shift work

Provide first response to engineering fault conditions and carry out electrical and mechanical planned maintenance across a highly automated customer fulfilment centre. Diagnose equipment breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, and analyse data to improve material handling equipment performance. The role involves shift work, working at height, and initial training travel to other sites in North America and/or the UK.

Computerized Maintenance Management Systems · G-Suite · MS Office

Last week

Luminance · 51–200 people · Series C

Senior Application Engineer

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  • London
  • Hybrid
  • Senior
  • Permanent

Lead engineering projects from discovery and design through delivery, building and maintaining customer-facing features on a web-based SaaS contract intelligence platform. Work with product, design and engineering colleagues across the contract lifecycle, making pragmatic technical decisions and contributing to reliable, secure, well-tested software. Includes troubleshooting production issues, on-call duties and mentoring colleagues.

17 months ago

C4S Search Ltd

Machine Learning Engineer

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  • London
  • Hybrid
  • £600 – £650 pd
  • Mid-level
  • Contract

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.

Azure · TensorFlow · PyTorch

2 weeks ago

Cambridge Consultants

Electronics / Software Engineer

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  • United Kingdom
  • On-site
  • Senior
  • Permanent

Work as part of a multi-disciplinary technical team on client assignments spanning consumer devices, industrial systems, and defence. Design and implement embedded systems, including C software for embedded targets, SystemVerilog for FPGAs, PCB design, and hardware testing, while interacting directly with clients from requirements capture to handover.

SystemVerilog · FPGA · LEGO SMART Play

SC clearance 7 months ago

University of Sheffield

Research Assistant in Machine Learning for Epidemiology

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  • Sheffield
  • Hybrid
  • £32,080 pa
  • Entry level
  • Contract · Part time

Build and evaluate machine learning models that predict Strep A outbreaks from multiple real-world datasets, turning them into early-warning signals. Work closely with clinicians and an engineering team so analyses feed into a practical public health tool, with emphasis on reproducible Python or R analysis.

Last month

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