Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Scientist

La Fosse
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Scientist III - Rankings & Personalization

Machine Learning Scientist III - Rankings & Personalization...

Machine Learning Scientist

Machine Learning Scientist

Machine Learning Scientist: Personalised Rankings at Scale

Senior Machine Learning Scientist (User Modelling/Representation Learning) - Viator

Machine Learning ScientistLocation: LondonSalary: Up to £80,000Work Type: Full Time - Hybrid (2 days in office)La Fosse is excited to partner with a cutting-edge SaaS company focused on transforming transport and logistics through advanced machine learning, simulation, and optimisation. As a Machine Learning Scientist, you’ll leverage large-scale datasets and cutting-edge ML techniques to design and optimise simulation-based solutions. Key Responsibilities:Developing optimisation algorithms to minimise resource use and maximise operational efficiency.Building real-time modules for network state analysis and predictions.Creating models for passenger flow and network simulations.Developing and refining machine vision models to support dynamic decision-making.Core Technical Skills:3+ years in data science, ML, or operations research, ideally with experience in simulation and optimisation. Degree in a quantitative field (e.G., computer science, math, data science).Strong Python skills and experience with statistical and computational modelling.Ability to translate high-level problems into actionable ML solutions.BenefitsCompany Pension SchemeHybrid WorkingGenerous Annual LeaveN.B - Unfortunately Visa sponsorship is unavailable for this roleIf interested in this role, please apply (latest by 8th November) and submit your CV. Alternatively, send your updated CV to .

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.