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

Apply Now

Office Opportunities

Leatherhead
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist, Quantitative Strategies (Asset & Wealth Management)

Entry-level Data Analyst

Exploiting K-Scale data for machine learning development Industrial Placement 2026

Senior Data Scientist - Fintech | Hybrid (3 days Office)

Data Scientist - London

Senior Data Scientist

Office Opportunities

We have some fabulous clients in the local areas, who are looking for individuals to join their busy teams. These vary from entry level to senior roles.

Hot & Live Jobs in Surrey:

Administration £23-30K
Customer Service £23-30K
Sales Executives £25K + commission
Accounts Receivable / Credit Control £28-35K
Entry Level Data Analyst £25-30K
Accounts Administrator £24K
Plus many moreApply now to speak through your requirements with one of our consultants.

Refer a friend and earn a retail voucher worth up to £500!

Unfortunately, due to high numbers of applications, we are only able to respond to shortlisted applicants. If you have not heard from us within 5 days, please assume that you have not been shortlisted on this occasion.

By applying for this vacancy, you accept Lloyd Recruitment Services Privacy and GDPR Policy which can be found on our website and therefore gives us consent to contact you.

Lloyd Recruitment Services are acting as a recruitment agency in relation to this vacancy and are an equal opportunities employer

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.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.