Senior Data Scientist

NearTech Search
London, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

Senior Data Scientist

Faculty AI London, United Kingdom
Remote Clearance Required

Senior Data Scientist

Faculty AI London, United Kingdom
Hybrid

Senior Data Scientist - Single Cell & Spatial

Relation Therapeutics London, United Kingdom
On-site

Senior Data Scientist - Computational Biology

Relation Therapeutics London, United Kingdom
On-site

Senior Data Scientist – Turing (LLMs, Agents, Data & Scientific Reasoning)

Relation Therapeutics London, United Kingdom
On-site

Senior Data Scientist – Rosalind (DNA Sequence Modelling & Computational Genomics)

Relation Therapeutics London, United Kingdom
On-site
Posted
11 Feb 2026 (3 months ago)

This range is provided by NearTech Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Salary between £75,000 - £90,000 DOE with yearly review (financial year)

Multilingual Senior Recruitment Consultant | Python, Backend Engineering, and Data Science

Senior Data Scientist – MLOps

My client works in the Insurance / Risk Management space and is relatively well established, having served their clients over the last 12 years. The firm was a relatively late adopter of AI, mostly due to some of the red tape and regulations affiliated with their more traditional sector. However, with a new CEO onboard and a more pragmatic approach, the firm is keen to play catch-up and help revolutionise their industry as others are doing.

To help accelerate this journey, they’ve invested heavily in the AI team and have now got some heavy-hitters in to lead on some cool, transformational projects. With a few MLEs already hired, they’re now looking for a senior MLOps individual to spearhead cloud deployment and management of some of the Key ML pipelines / infrastructure.

Day-to-Day Responsibilities:

  • Design, implement, and maintain robust MLOps pipelines to ensure seamless deployment, monitoring, and scaling of machine learning models in production.
  • Collaborate within the team to operationalise models, ensuring they are scalable, reliable, and efficient.
  • Develop and maintain CI/CD pipelines for ML workflows, integrating automated testing, model validation, and version control.
  • Monitor model performance in production, identifying and resolving issues such as data drift, model degradation, and latency bottlenecks.
  • Optimise cloud infrastructure for machine learning workloads, ensuring cost-efficiency and scalability.
  • Document processes, workflows, and best practices to ensure knowledge sharing and continuity within the team.

It goes without saying, but given the novelty of MLOps roles on the whole, the engineer should be keen on keeping up with best practices, attending workshops / events (on company time) and ensuring that they stay at the top of their game.

Technical Expertise:

  • Strong experience with cloud platforms such as AWS or Azure, including services like SageMaker, MLflow / Kubeflow.
  • Solid understanding of CI/CD tools (Jenkins, GitLab CI, GitHub Actions) and version control systems (aka Git).
  • Experience with IAC - Terraform or CloudFormation.

Nice to haves:

  • Familiarity with data engineering tools / frameworks (Apache Spark / Airflow) for pre-processing and managing large datasets.
  • Experience of working within the Insurance / Risk sector is really beneficial but not essential.
  • Good allowance for continued learning / development – bolstered by a £2,200 individual yearly learning fund.
  • Flexible working to suit care / caregiving needs.
  • Cycle to work schemes / season ticket initiatives.
  • 27 days of annual leave rising to 30 after 3 years of service.

Seniority level

Not Applicable

Employment type

Full-time

Job function

Business Development and Information Technology

Industries

Insurance


#J-18808-Ljbffr

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

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

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.