Machine Learning Jobs

451 jobs for “Technology”

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Faculty

Senior Data Scientist (Safety)

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  • London
  • Hybrid
  • Senior
  • Permanent

Lead high-impact AI safety projects for national security and frontier labs, inventing novel evaluation frameworks and designing robust software architectures. Mentor technical team members, partner with commercial teams on scoping, and advance the science of AI evaluations through research and public speaking. Combines hands-on Python data science with project leadership in a high-stakes, mission-driven environment.

NumPy · Pandas · Inspect AI +1

3 months ago

Faculty

Lead Data Scientist

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  • London
  • Hybrid
  • Lead · manages people
  • Permanent

Lead technical direction on complex, business-critical AI projects for the Life Sciences team, partnering with pharma, academic and regulatory clients. Combines hands-on machine learning expertise with project roadmapping, technical risk management and mentoring of cross-functional data science teams.

Metaview

3 months ago

Cohere

Senior Full-Stack Engineer, North Admin

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  • London
  • Remote
  • Senior
  • Permanent

Build and ship features for North, Cohere's secure AI workspace platform, developing autonomous agents that interact with sensitive enterprise data. Work spans Python and React full-stack code, with stringent deployment constraints that often require reinventing tooling rather than using popular libraries, plus collaboration with researchers to productionize frontier models.

Python · React

3 months ago

Wayve · 11–50 people · Series A

Embedded Automotive Platforms, Senior Software Engineer

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  • London
  • Hybrid
  • Senior
  • Permanent

Builds and maintains core C++/Python components that interface self-driving models with vehicle and embedded systems, plus infrastructure to run and test autonomy capabilities. Owns reliability and performance of Linux-based systems and specialises in one domain such as localisation/mapping, filtering/diagnostics or control/inference, in a team scaling to 5-6 engineers.

Linux

Visa sponsorship Last month

Wayve · 11–50 people · Series A

Product Manager, AI Driver

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  • London
  • Hybrid
  • Mid-level
  • Permanent

Own a substantial work package end-to-end, defining the problem, setting strategy and sequencing work to ship outcomes for an end-to-end AI driving platform. Lead a cross-functional team of engineers, researchers and PMs without formal authority, translating R&D progress and customer needs into a product roadmap with clear KPIs and milestones.

Visa sponsorship Last month

Cirrus Selection

Computer Vision & AI Engineer

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  • Filton
  • £45,000 – £58,000 pa
  • Permanent

Research, develop and evaluate image processing and computer vision algorithms within a specialist team, applying AI and deep learning to segmentation, object detection, tracking and classification. Work spans optical flow, pose estimation, particle filtering and computational imaging using MATLAB, Simulink and Python with PyTorch, collaborating with multidisciplinary engineers to turn research into practical applications.

MATLAB · Simulink · Python +1

Clearance required 2 weeks ago

ITOL Recruit

Junior AI Developer

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  • Leicester
  • Remote
  • £30,000 – £45,000 pa
  • Junior

A 15-step online, self-paced traineeship covering AI engineering fundamentals, Python, data handling, prompt engineering, RAG, machine learning and AWS cloud certification, with tutor and recruitment support. It is a paid training course rather than a salaried job, aimed at career changers with no prior experience, and includes a job guarantee or money-back promise.

Jupyter Notebooks · VS Code · Streamlit +7

Today

Harnham - Data and Analytics Recruitment

Senior Analytcs Director

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  • London
  • Hybrid · 2 days in office
  • £160,000 – £170,000 pa
  • Director · manages people

Owns the data, analytics and AI strategy for a global pharmaceutical procurement joint venture, leading a multidisciplinary team of around 18 across analytics, data science and engineering. Reports to the COO and drives a digital and AI roadmap spanning commercial and pricing analytics, predictive modelling of supply chain risk and operational improvement, influencing senior stakeholders across both parent organisations.

Today

NVIDIA · Public

Developer Relations Manager - Artificial Intelligence

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  • United Kingdom
  • Remote
  • Mid-level

Lead NVIDIA's developer strategy with a major cloud service provider, driving GPU acceleration adoption across AI and generative AI workloads. The role blends developer advocacy, product management and business development, building engineering partnerships and hosting summits and meetups. It offers high visibility with senior leadership given the strategic priority of deep learning platforms.

NVIDIA GPU · CSP

12 months ago

ARM · 11–50 people · Bootstrapped

Principal Machine Learning Engineer

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  • Dublin, Ireland
  • Hybrid · 2 days in office
  • Lead

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.

Azure · AWS · Terraform +4

2 weeks ago

University of Exeter

PhD Studentship: Integrating Machine Learning with One Health Frameworks to Quantify Disease Transmission Pathways between Wildlife and the Environment

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  • Exeter
  • £21,805 pa
  • Entry level
  • Contract

An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for monitoring wild animal behaviour, including individual recognition and automated quantification of responses. Systems are benchmarked in controlled conditions then validated on wild jackdaws and field sites in West Africa, spanning ecology, electronic engineering and data science.

Thermal Imaging · AI · Machine Learning

Last week

Cambridge Consultants

AI & Algorithms Engineer (Defence & Security)

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  • United Kingdom
  • Hybrid
  • Senior

Designs, builds and tests intelligent systems for defence and security clients, covering signal processing, radar, computer vision, transformers and edge AI. Takes technical ownership of significant project parts, mentors junior engineers, and works directly with clients on proposals and new work. Requires SC clearance and substantial time on-site.

Transformers · Edge AI

SC clearance Last month

ITOL Recruit

Junior AI Developer

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  • Manchester
  • Remote
  • £30,000 – £45,000 pa
  • Junior

A 15-step online, self-paced AI traineeship covering Python, NumPy, Pandas, scikit-learn, Hugging Face, prompt engineering, RAG and vector databases, culminating in an AWS Certified Cloud Practitioner exam. It is a paid training course with fees, offering 1-to-1 tutor and recruitment support plus a job guarantee, rather than a salaried position.

Jupyter Notebook · VS Code · Streamlit +7

2 weeks ago

CMC Markets

ML Ops Engineer

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  • London
  • Mid-level

Hands-on role building the systems around machine learning: repeatable training and deployment workflows, CI/CD pipelines, model registries and versioning, plus batch and online inference services in containerised cloud environments. You'll monitor service health, data quality, drift and model performance, and investigate production issues across models, infrastructure and data dependencies, working with research, platform, security and product teams.

PyTorch · Model Registry · Feature Store +5

5 days ago

eFinancialCareers

Senior Data Scientist - SMBC

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  • London
  • £84,000 – £126,000 pa
  • Senior

Joins the Data Analytics Team within the EMEA Data Management Office to build out data science capability, developing proofs of concept that show where machine learning and statistical modelling can deliver measurable business value. Works hands-on with Python across the full data science lifecycle, from exploratory analysis and feature engineering to model evaluation, while translating business problems into analytical use cases and presenting findings to technical and non-technical stakeholders. Requires comfort with ambiguity and siloed, disconnected data, plus mentoring colleagues and establishing reusable standards and best practices.

6 days ago

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