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

Nominate & Attend

Senior Machine Learning Engineer, Scaling and Performance

InstaDeep
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer - Scientific AI

Senior Machine Learning Engineer

Machine Learning Engineer

Senior MLOps / Machine Learning Engineer: LLMs & Agentic AI

Senior Software Engineer | ML Infrastructure

Senior Software Engineer – API & ML Infrastructure

Senior Machine Learning Engineer, Scaling and Performance

Join to apply for theSenior Machine Learning Engineer, Scaling and Performancerole atInstaDeep

Senior Machine Learning Engineer, Scaling and Performance

Join to apply for theSenior Machine Learning Engineer, Scaling and Performancerole atInstaDeep

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.

Join us to be a part of the AI revolution!

The Team:

Our team plays a pivotal role in enhancing the capabilities and efficiency of our advanced AI systems. We design solutions that enable our machine learning models to scale seamlessly and perform optimally in real-world applications and large scale research. Collaborating across InstaDeep, we directly impact projects in diverse fields including Life Sciences, Logistics, Chip Design, and Quantum ML.

The Role:

We seek a highly skilled Machine Learning Engineer with a passion for tackling the challenges of large-scale ML development. You'll play a vital role in making our ambitious AI solutions a practical reality. If you thrive on system-level analysis, find joy in squeezing every ounce of performance from hardware, and love diving deep into algorithm optimisation, this is the position for you.

Responsibilities

  • Scaling Expertise: Design and implement strategies to efficiently scale machine learning models across diverse hardware platforms (GPU/TPU).
  • Performance Optimisation: Analyse and profile ML systems under heavy load, pinpointing bottlenecks, and implementing targeted optimisations.
  • Distributed Systems Architecture: Create robust distributed training and inference solutions for maximum computational efficiency.
  • Algorithmic Optimisation: Research and understand the latest deep learning literature to implement and optimise state-of-the-art algorithms and architectures, ensuring compute efficiency and performance.
  • Low-Level Mastery: Write high-quality Python, C/C++, XLA, Pallas, Triton, and/or CUDA code to achieve performance breakthroughs.

Required Skills

  • Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques
  • Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.)
  • Expertise with Python and/or C/C++
  • Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.)
  • Passion for profiling, identifying bottlenecks, and delivering efficient solutions.

Highly Desirable

  • Track record of successfully scaling ML models.
  • Experience writing custom CUDA kernels or XLA operations.
  • Understanding of GPU/TPU architectures and their implications for efficient ML systems.
  • Fundamentals of modern Deep Learning
  • Actively following ML trends and a desire to push boundaries.

Example Projects:

  • Profile algorithm traces, identifying opportunities for custom XLA operations and CUDA kernel development.
  • Implement and apply SOTA architectures (MAMBA, Griffin, Hyena) to research and applied projects.
  • Adapt algorithms for large-scale distributed architectures across HPC clusters.
  • Employ memory-efficient techniques within models for increased parameter counts and longer context lengths.

What We Offer:

  • Real-World Impact: Directly contribute to the performance and reach of our AI solutions.
  • Cutting-Edge Challenges: Tackle complex problems at the forefront of machine learning and large-scale system design.
  • Growth-Oriented Environment: Expand your expertise in a team of talented engineers dedicated to advancing ML scalability.

Our commitment to our people

We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

Right to work:Please note that you will require the legal right to work without visa sponsorship in the location you are applying for. We do not sponsor work visas.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at InstaDeep by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 19 hours ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 5 months ago

London, England, United Kingdom 2 days ago

Machine Learning Scientists and Engineers: AI for Quantum

London, England, United Kingdom 2 months ago

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 5 days ago

Machine Learning Engineer - Search and Recommendation

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 days ago

Graduate Software Engineer 2025 - RegTech

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom £50,000.00-£60,000.00 1 month ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 20 hours ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 months ago

Greater London, England, United Kingdom 3 weeks ago

Research Engineer, ML, AI & Computer Vision

London, England, United Kingdom 2 weeks ago

City Of London, England, United Kingdom 4 days ago

London, England, United Kingdom 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

Careers Jobs

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

Jobs Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.