Data Scientist/Engineer

LA International
Milton Keynes
2 weeks ago
Create job alert

Our client is looking for a Data Scientist/Engineer to work on an initial 6 month Outside IR35 contract. The majority of the work would be onsite in Milton Keynes and candidates would require a DV Clearance prior to start.


Key Responsibilities

  • Quickly converting an idea to a demonstration
  • Lead the design and development of Generative AI-based applications.
  • Working within in a Scrum team to develop rapid prototypes.
  • Evaluate, select, and integrate AI tools and frameworks that are essential for generative AI development.
  • Stay up to date with the latest advancements in generative AI and contribute to our research efforts in this field.
  • Learning, evaluating and leveraging a variety of AI tools and technologies.
  • Being a self-starter and able to work independently, as well as within a team, to deliver a result.
  • Provide guidance and mentorship to junior AI engineers, fostering a culture of continuous learning.
  • Demonstrate passion for quality and productivity by use of efficient development techniques, standards and guidelines.
  • Design, train, fine-tune, and evaluate ML and NLP models (including small/medium language models) using robust experimentation practices, clear success metrics, and offline/online evaluation.
  • Build and maintain data pipelines for ML (ingestion, validation, feature engineering, labeling) with reproducibility, lineage, and governance.
  • Implement retrieval-augmented generation (RAG) and hybrid search, including embeddings, vector stores, and re-ranking to improve quality and guardrails.
  • Optimize LLM/SLM inference (quantization, distillation, batching, caching) for latency, throughput, and cost; select and tune serving stacks (e.g., vLLM/TGI/Triton) and GPU/CPU targets.
  • Operationalize models with MLOps/AIOps best practices: CI/CD for models, model/version registries, feature stores, automated testing, canary/blue-green rollouts, A/B tests, and rollback strategies.
  • Deploy, scale, and monitor models on Kubernetes (Helm, Rancher, AKS, K3S) and cloud AI platforms; instrument for observability (metrics, logs, traces), data/label drift, bias, hallucination and safety events.
  • Implement security, compliance, and privacy‑by‑design for AI systems (PII handling, policy enforcement, content moderation, prompt/response safety, secret management).
  • Partner with Data Engineering and Platform teams to ensure capacity planning, cost controls, and reliability (SLOs/SLIs) for model serving in production.

Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 18 weeks. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non‑clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.


Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist/Engineer

Data Scientist/Engineer

Data Scientist Engineer - Graduate

Data Scientist/Engineer - Cybersecurity Data Platforms

Data Scientist & Engineer - Cybersecurity Analytics & ML

Data Scientist & Engineer (ML, Pipelines, Insights)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.