National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Machine Learning Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation
Slough
14 hours ago
Create job alert

Senior Machine Learning Engineer x 2

Up to £110k + bonus + equity

London (2 x days per week)


  • Highly successful AI scaleup.
  • Agentic systems development.
  • Impressive founding team.

I’m looking for two experienced ML Engineers to join an established AI scaleup in London.

You’ll have the chance to rub shoulders with a very impressive and technically brilliant AI team and play a pivotal role in building agentic frameworks and multi-agent systems.

We have two opportunities, both at the senior level. There is scope for one of the positions to move further towards a lead role in time.


The ideal profile will be someone who combines a strong academic background and ML theory along with a track record of building and deploying agentic systems in a commercial setting.


The business is in a solid position from both a revenue generation standpoint but also from a funding runway perspective. They will be announcing Series B later this year, and having operated in their space for several years, they have a strong foothold in the market.


Essentials:

  • Deep understanding of NLP and commercial experience in building and deploying LLM solutions.
  • This place has a high technical bar, so solid Python skills are a must.
  • Experience with agentic frameworks and familiarity with agentic systems – LangChain, LangGraph, AutoGen, etc.
  • Commercial experience deploying LLM applications to production (this isn’t a research role).
  • Experience taking the lead on projects from a "tech lead" perspective (only relevant for one of the roles).
  • Bonus – any experience with knowledge graphs or graph databases like Neo4J.


Benefits:


  • Base salary of up to £110k.
  • Equity package.
  • Performance bonus.
  • Private healthcare.
  • Career path to Lead ML Engineer.
  • Enhanced parental leave.


With offices in central London, this company operates a hybrid working policy with two days a week required in the office.


Reach out to Jamie Forgan at SR2 for more information.

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - 3D

Senior Machine Learning Engineer

National AI Awards 2025

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 Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.