Senior Data Scientist

Omnis Partners
Sheffield
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

🚀 Agentic AI Consultant – Remote (UK) | Global Travel Available 🚀



Level: Associate – Director

Location: Remote-first (UK-based) with London hub + global travel opportunities

Compensation: ÂŁ80k - ÂŁ130k + bonus + benefits



We are seeking experienced Agentic AI Consultants to design, build, and scale autonomous multi-agent systems that move beyond PoCs and into real-world production. This is not “just another chatbot role.” You’ll architect frameworks, deploy systems at scale, and guide clients through the complexities of next-generation AI adoption.



The ideal candidate will unite software engineering depth with data science expertise - capable of hands-on system development while also engaging clients in workshops and strategic roadmaps.



What You’ll Do

  • Architect multi-agent frameworks (e.g. ReAct, CoT loops, LangGraph) and orchestrate tool-rich workflows.
  • Productionise AI solutions: move beyond PoC into systems serving 100s–1000s of users with robust monitoring and orchestration.
  • Deploy and scale agentic AI across diverse environments (SQL, pandas, RAG, MCP).
  • Evaluate systems rigorously: Pass@N, multi-run testing, retriever validation, and component-level analysis.
  • Educate & consult: Run ideation sessions, maturity assessments, and roadmap planning for enterprise/government clients.
  • Collaborate cross-functionally with AI engineers, architects, and product teams to deliver market-ready solutions.
  • Stay ahead of the curve by exploring LLM advancements, orchestration tools, and evaluation methodologies.



What We’re Looking For

Required:

  • 3+ years in AI, Data Science, or advanced technical consulting.
  • Proven track record of building and deploying LLM/agentic systems into production.
  • Strong software engineering foundations (deployment, memory orchestration, monitoring).
  • Familiarity with agentic architectures (LangGraph, ReAct, CoT loops).
  • Experience delivering AI at scale – beyond PoC, into live environments.
  • Ability to engage clients with clear communication and advisory skills.



Preferred:

  • Master’s/PhD in AI, Computer Science, or related discipline.
  • Knowledge of TensorFlow, PyTorch, vector databases, retrieval-augmented generation (RAG).
  • Background in start-ups (T-shaped generalists) or consultancies (client-facing exposure).
  • Experience in regulated industries or public sector projects.
  • Self-starter mindset — independent, solutions-driven, and comfortable without hand-holding.



Why Join?

  • Impact at scale: Deliver production-ready systems for Fortune 100s and government bodies.
  • Cutting-edge team: Work alongside industry leaders, academics, and innovators.
  • Global flexibility: Remote-first, with travel and relocation options worldwide.
  • Growth & research: Influence academic research while shaping enterprise AI adoption.
  • Culture: A fast-moving, entrepreneurial team environment with the backing of a global consulting leader.


Keywords (SEO-optimised)

Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers UK, AI Jobs Remote.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.