Data Scientist

Kinetica
Oxfordshire, England
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Faculty AI London, United Kingdom
Hybrid Clearance Required

Data Scientist

PhysicsX London, United Kingdom
Hybrid

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Data Scientist

ISR Recruitment Exeter, Devon, United Kingdom
£50,000 – £60,000 pa Hybrid

Data Scientist

Advertising Standard Authority Old Street, London, United Kingdom
£45,000 – £60,000 pa Hybrid

Data Scientist

Randstad Technologies Recruitment London, United Kingdom
Posted
15 Nov 2025 (6 months ago)

Data Scientist – Oxford/ hybrid – Instrumentation

About the Company:

We are looking for an experienced Data Scientist to join a growing instrument company in Oxfordshire. Your role will be to drive the next stage modelling and machine learning capability. You will be pivotal in developing, validating and integrating complex analytical workflows to transform data.


Responsibilities:

  • Analyse and interpret data.
  • Develop and enhance analytics pipelines, including signal processing, anomaly detection, and source localisation.
  • Apply machine learning and AI techniques to complement physics-based models and improve detection accuracy.
  • Collaborate with software engineers to integrate and validate models within the cloud platform.
  • Support deployments and deliver insights to assist customers.
  • Produce clear, data-driven reports and presentations for internal and external stakeholders.


Requirements:

  • PhD or BSc with experience in Data Science, Physics, Engineering, Computer Science, or a related quantitative field.
  • Skilled in Python for scientific computing, version control (Git), and workflow automation.
  • Strong grasp of model development, validation, and deployment in research or production environments.
  • Analytical thinker with excellent problem-solving and communication skills.
  • Able to work independently and thrive in a collaborative, fast-moving environment.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.