283 Senior Machine Learning Engineer jobs in London
Machine Learning Engineer
Posted today
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Machine Learning Engineer and Data Engineer
Location: London
Type: Full-time | Permanent | Office based
Salary: up to £100,000 (ML Engineer) and up to £80,000 (Data Engineer)
About Us
We’re an early-stage startup on a mission to. As we scale, we’re looking for a Machine Learning Engineer and Data Engineer who are excited to build real-world products from the ground up, shape the future of our technology, and make a measurable impact.
The Role
You’ll play a key role in designing, building, and deploying ML models that power our core product. This isn’t just about research — it’s about turning ideas into features customers love. You’ll work closely with our founding team, own projects end-to-end, and help set the standard for engineering practices as we grow.
What You’ll Do
- Design, train, and deploy machine learning models to solve real-world problems.
- Collaborate with product and engineering teams to integrate ML into customer-facing features.
- Build scalable data pipelines and infrastructure to support model training and inference.
- Experiment with new algorithms and techniques, bringing the latest research into production.
- Monitor and optimise models for performance, accuracy, and efficiency.
- Contribute to technical decisions that balance immediate needs with long-term scalability.
- Help shape our technical culture, processes, and roadmap as an early team member.
What We’re Looking For
- 2+ years’ experience as a Machine Learning Engineer, Data Scientist, or similar role.
- Strong background in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with building and deploying ML models into production.
- Knowledge of APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure).
- Strong problem-solving skills and ability to work independently in a fast-paced environment.
- Curiosity, openness, and a willingness to experiment and learn.
- Excellent communication skills for explaining complex concepts to technical and non-technical audiences.
Nice to Have
- Experience working in a startup or high-growth tech environment.
- Familiarity with AI-assisted coding tools (e.g. GitHub Copilot, Cursor).
Machine Learning Engineer
Posted today
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Who We Are
At Ultralytics , we relentlessly drive innovation in AI, building the world's leading open-source models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI .
Location and Legalities
This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
Machine Learning Engineer
Posted 2 days ago
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Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence?
We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds.
You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production.
In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients.
What’s in it for you?
AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights.
Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production.
Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical and career development.
Machine Learning Engineer
Posted 10 days ago
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Job Description
We're looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc!
What you'll do:
+ Develop ML-tools and ML-products that serve millions of Snapchatters on a daily basis
+ Build cutting-edge augmented reality experiences with diffusion/flow matching models and GANs
+ Deliver GenAI experiences for the edge devices
+ Work on state of the art GenAI pipelines for image and video generation
+ Work closely with other Snap teams to introduce, prototype and launch new products
Knowledge, Skills & Abilities:
+ A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
+ Knowledge of mathematics and deep learning foundations
+ Ability to effectively collaborate with internal teams and external partners
+ Ability to work independently
Minimum Qualifications:
+ Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
+ Engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning
+ Experience with the major deep learning frameworks: PyTorch or TensorFlow
+ Strong programming skills in Python or C+Preferred Qualifications:
+ Experience developing real-time software for mobile applications
+ Knowledge of computer graphics foundations
+ Track record of successful projects in GenAI field
+ Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
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Machine Learning Engineer
Posted today
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Central London, Greater London - United Kingdom
Type:
Permanent
Machine Learning Engineer - Defence & National Security
Locations: Poole | Hereford | Remote (UK-wide with travel)
£0,000 - 0,000 + benefits
Our client is a specialist AI consultancy delivering safe, impactful, and human-centric AI solutions to government, defence, and national security organisations. With over a decade of experience and a track record of supporting hundreds of global customers, they are at the forefront of applied AI - taking cutting-edge research into real-world deployment at scale.
They are now hiring a
Machine Learning Engineer
to join their Defence & National Security team. This role offers the opportunity to design, build, and operationalise production-grade AI systems that directly impact high-stakes projects in the UK.
What you'll be doing
Designing, building, and deploying software, infrastructure, and MLOps systems that leverage machine learning.nWorking in cross-functional teams with engineers, data scientists, product managers, and designers.nDeveloping scalable, reusable tools that accelerate ML delivery.nProviding technical expertise to customers and mentoring junior engineers.nContributing to the scope, design, and technical delivery of complex projects.nEmbedding best practices for AI systems in production, balancing technical, ethical, and operational requirements.nWhat we're looking for
Active SC clearance(minimum 5 years UK residency required).nStrong software engineering skills, with proficiency in Python.nExperience across the ML lifecycle, including deploying models built in PyTorch, TensorFlow, or Scikit-learn.nHands-on cloud experience with AWS, Azure, or GCP.nKnowledge of Docker and Kubernetes, with practical containerisation experience.nUnderstanding of probability, statistics, and ML techniques.nStrong communication skills, able to engage with technical and non-technical stakeholders.nExperience mentoring or leading junior engineers is an advantage.nTravel & Location
Open to applicants from anywhere in the UK.nTravel to Poole or Hereford up to 2/3 days per weeknMajority of work can be done remotely.nWhy join
Salary range:
0,000 - 0,000
depending on experience.nWork on AI projects with direct impact in defence and national security.nJoin a high-calibre team working at the cutting edge of applied AI.nHybrid working with flexibility across the UK.nOpportunity to shape how machine learning is operationalised at scale.nThis role is ideal for an engineer who wants to take machine learning beyond theory and into live operational systems that solve critical national challenges. If you have the technical depth, the clearance, and the drive to deliver meaningful outcomes, this is a chance to do work that truly matters while developing your career alongside some of the brightest minds in applied AI.
Reference:
ODI/FAI/ML
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Machine Learning Engineer
Posted 15 days ago
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Who are we?
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Machine Learning Engineer – Insurance
Posted 1 day ago
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Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines, owning our Azure ML platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You’ll own our Azure ML platform. Exciting right?
Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer
Location: Hybrid – HQ is Paddington, Central London. We would love to see you a few times a week.
Salary: up to £68k base + Bonus & awesome benefits!
In regard to you…it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL.
If you're ready to build things that actually get used, apply now, and let’s create something amazing together.
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Machine Learning Engineer – Insurance
Posted 1 day ago
Job Viewed
Job Description
Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines, owning our Azure ML platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You’ll own our Azure ML platform. Exciting right?
Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer
Location: Hybrid – HQ is Paddington, Central London. We would love to see you a few times a week.
Salary: up to £68k base + Bonus & awesome benefits!
In regard to you…it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL.
If you're ready to build things that actually get used, apply now, and let’s create something amazing together.
Senior Machine Learning Engineer
Posted today
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Job Description
Senior Machine Learning Engineer
London (Old Street / Moorgate)
Up to £140,000 + bonus
About the Role
We are working with a leading quantitative technology firm that’s working at the cross roads of machine learning research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment.
This role is all about taking cutting-edge ML research projects and moving them into production — building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment.
Key Responsibilities
- Collaborate with ML scientists to ingest and process large-scale, high-frequency market data.
- Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment.
- Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading.
- Take ownership of end-to-end solutions, from research to execution.
What We’re Looking For
- 5+ years’ experience in high-level engineering roles.
- Proven track record building ML research pipelines in complex technical environments.
- Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure).
- Strong mathematical or statistical background.
- Background in AI-driven industries.
- Independent, self-driven engineers who can own delivery without hand-holding.
Senior Machine Learning Engineer
Posted today
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