What Jobs are available for Machine Learning in London?

Machine Learning Specialist - Elite Systematic shop - London/NYC - Up to £1m

One of our leading Systematic Hedge Fund clients is looking to introduce advanced ML models and techniques into their investment process and is looking for an experienced ML specialist to lead this endeavour.

The mandate is significant, with the successful individual being responsible for the application and adoption of ML across all of the firm's strategies and teams.

The firm is looking for someone with a solid publication record as well as practical experience using ML in applied settings.

Key Responsibilities:

• Serve as a subject matter expert in machine learning, advising teams across all asset classes.
• Identify and evaluate opportunities to apply ML techniques to optimize trading strategies, portfolio management, and infrastructure.
• Collaborate with quantitative researchers, data scientists, and engineers to design and implement end-to-end ML solutions.
• Develop, test, and deploy production-grade ML models, ensuring their robustness, scalability, and real-world applicability.
• Stay at the forefront of ML research and industry advancements, assessing their potential impact and relevance to systematic trading.

Qualifications:

• PhD in Computer Science, Mathematics, Statistics, or a related field, with a strong publication record.
• Proven experience applying ML techniques in real-world, high-stakes environments (finance, trading, or similarly complex domains preferred).
• Deep understanding of ML algorithms, statistical models, and optimization techniques.
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and familiarity with distributed computing.
• Ability to think from first principles and drive projects independently, with an ownership mindset.
• Strong analytical, problem-solving, and critical-thinking skills.
• Experience with large-scale time series data or alternative data sources is a plus.

Salary: Up to £1m TC

WFH: Hybrid but flexible

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology and Research

Industries: Financial Services and Investment Management

For more information, please get in touch. Successful candidates will receive a response in 24 hours.

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This is a hybrid role based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.

The role

Our mission is to develop models to forecast financial time series. This is a challenging and highly competitive space so rather than deploy standard methods off the shelf you will likely need to extend classical methods or develop entirely new techniques. Our problems are well-defined and success is highly measurable and has direct impact on the business.

You will have access to vast amounts of data (both structured and unstructured), large computing resources and a world class research platform. You will apply machine learning methods drawn from diverse areas such as neural networks, reinforcement learning, deep learning, non-convex optimisation, Bayesian non-parametrics, NLP and approximate inference. We read the latest publications in the field and discuss them within the firm's vibrant research community. We attend the leading conferences worldwide (e.g. NIPS, ICML, ACL etc.).

This is a pure research role where you will be able to develop and test your ideas with real-world data in an environment that resembles academia.

Who are we looking for?

The ideal candidate will at minimum have experience in the following areas:

• Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions (e.g. Kaggle).
• Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference.
• Excellent reasoning skills and mathematical ability are crucial: off the shelf methods don't always work on our data so you will need to understand how to develop your own models.
• Strong programming skills and experience working with Python, Scikit-Learn, SciPy, NumPy, Pandas and Jupyter Notebooks is desirable. Experience with object oriented programming would be beneficial.
• Publications at top conferences such as NIPS, ICML, ICLR etc. is highly desirable.

Why should you apply?

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business ) and dedicated barista bar
• 30 days’ annual leave
• 9% contributory pension scheme
• Informal dress code and excellent work/life balance
• Comprehensive healthcare and life assurance
• Monthly company events

• Seniority level Associate

• Employment type Full-time

• Job function Research

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

This range is provided by Adamas Knight. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from Adamas Knight

We’re looking for smart and curious individuals from industry and academia to join our client's growing AI Lab and push the boundaries of applied deep learning in trading.

On their AI team, you’ll build and train deep learning models that directly power their trading strategies, supported by a massive and rapidly expanding compute cluster (thousands of H100s/200s). The challenges here are unique: ultra-low latency, vast and noisy datasets, constantly shifting dynamics, and tight feedback loops. These constraints demand original thinking and new techniques.

Researchers, engineers, and traders work closely together (often side by side) to train models, build systems, and run live strategies. One day you might be optimising training performance across thousands of GPUs; the next, you’re analysing how a model trades in production or designing a new architecture to capture subtle market signals.

They will rely on your deep knowledge of deep learning, whether your background is in LLMs, recsys, image models, RL agents, or classical methods, to help shape the next generation of their ML-driven trading. You’ll also contribute to hiring, mentor teammates, and share insights from the broader research community through papers, internal talks, and conference travel.

Who We’re Looking For

We’re open to a range of backgrounds and experiences, but the ideal candidate will have:

• An advanced degree in machine learning, statistics, applied math, or a related discipline; or equivalent experience in industry applying ML to challenging problems
• Expertise in one or more of: deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods
• Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow
• A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms
• The ability to independently formulate research questions and design experiments to answer them
• A desire to work on applied problems where real-world performance and feedback matter

What They Offer

• Highly competitive compensation and generous performance-based bonuses
• Access to extensive compute resources, including large-scale GPU clusters
• A collaborative and intellectually stimulating research environment
• 30 days of paid leave annually
• Employer pension contributions
• Daily catered lunch and barista service
• Flexible work culture with a focus on sustainability and well-being
• Comprehensive healthcare and life insurance coverage
• Monthly team events and regular conference attendance

At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.

• Seniority level Not Applicable

• Employment type Full-time

• Job function Research and Engineering
• Industries Software Development

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

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This role is based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.

The role

Our researchers have a challenge: disproving the efficient market hypothesis every day. This requires them to harness massive compute power and to use state-of-the-art ML techniques – published in recent conferences or developed entirely in-house – as textbook methods won’t beat the competition.

ML is integral to develop successful investment management strategies; it is one of the core drivers of our overall performance and success. It has long been a key tool at G-Research and we count a range of ICML and NeurIPS published researchers among our people.

Our ML practitioners have huge amounts of (clean) data and near infinite compute at their fingertips, with which they’re incentivised to explore the cutting-edge and find the 1% of difference. And unlike pure problems, our researchers get near instantaneous feedback in the form of absolute numbers where success is highly measurable and has a direct impact on the business.

As a team, we read the latest publications in the field and discuss them within the our vibrant, collaborative research community, and attend the leading conferences worldwide, such as NeurIPS and ICML.

In this research role you will be able to develop and test your ideas with real-world data in an academic environment.

Who are we looking for?

The ideal candidate will have:

• Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle
• Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference
• Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work on our data so you will need to understand how to develop your own models
• Strong programming skills and experience working with Python, Scikit-Learn, SciPy, NumPy, Pandas and Jupyter Notebooks is desirable. Experience with object-oriented programming is beneficial
• Publications at top conferences, such as NeurIPS, ICML or ICLR, is highly desirable

Why should you apply?

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business ) and dedicated barista bar
• 35 days’ annual leave
• 9% company pension contributions
• Informal dress code and excellent work/life balance
• Comprehensive healthcare and life assurance
• Cycle-to-work scheme
• Monthly company events

We are currently recruiting a Machine Learning Engineer to join a global publishing company. Producing high-quality educational resources, they are publishing impactful research that has the power to improve society and empower policy makers.

This is an opportunity to join an organisation with people who are passionate about data and its ability to empower and improve lives.

• Work with cross-functional teams to deliver production level ML/AI solutions.
• Implement MLOps with a focus on versioning and data security.
• Champion Machine Learning across the business.
• Mentor junior members of the team.

• £6 000 – £8 000
• Profit share bonus
• Company doctor
• WFH allowance

• Python
• Azure
• MLOps
• Strong communication
• Stakeholder management

If you would like to be considered for the role and feel you would be an ideal fit with our team, please send your CV to us by clicking on the Apply button below.

At ElevenLabs, we're building foundational AI technology that redefines how audio content is made, shared, and used. For developers, entertainment, and accessibility, our work brings new ways of communication and creative expression to people worldwide.

We are a global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we solve challenges and create tools that change how people work with sound.

We operate on foundational principles that guide both our technical innovations and our company culture.

1. Approach the problem without bias: Start with the first principles to try to find the best solution.
2. Excellence everywhere: We want to lead in what we do - from the way we build our models to how we engage with our community, and for that we go the extra mile.
3. Owning outcomes: We take responsibility for our individual work to function well as a team and we develop our technology mindful of its impact.

We make sure our team has what they need to innovate quickly and responsibly. We go the extra mile for both our work and our people and look after the well-being of both.

We are leaders in developing world-changing AI technologies and safeguards. ElevenLabs isn’t just building audio AI; we’re also shaping what it means to be a company in this field. For this, we seek the best people to join our team. We’re in it for the long haul, focused on building a generational company.

We set the bar high. You’ll see it in the work, the remote-first collaboration, and the extra effort people bring in. We take pride in getting things right, from big picture initiatives down to the small details that keep us moving smoothly every day. This creates a driven, focused, and reliable place to work.

We work with high autonomy and accountability. We keep things lean and flexible in small teams. We leave our egos aside and get the job done, often wearing many hats, tackling both strategic goals and hands-on tasks. At ElevenLabs, the best idea wins.

We ensure that our team is equipped to innovate quickly and responsibly. We go the extra mile for our product and for our people and make sure to look after the well-being of both.

Our diverse team spans 30+ countries with hubs in New York, London, and Warsaw, fostering a rich blend of cultural perspectives and enabling us to serve customers worldwide.

We embrace rapid experimentation and lean team structures, empowering individuals to make meaningful decisions and drive impact from their first day.

We are intentional about remote collaboration through thoughtful documentation and efficient communication, minimizing meetings while maximizing productivity.

Work alongside AI industry leaders in an environment where the best ideas win, regardless of origin, and forge your unique path based on your strengths and our evolving needs.

We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. Every role at ElevenLabs is an opportunity to shape the future of AI.

You will work with our team of applied research engineers at the intersection of computer vision, natural language processing and machine learning to create state-of-the-art tools to support game developers in our ecosystem, as well as automation of a number key areas, including localization, moderation, and testing. You will be responsible for the design, implementation and deployment of production‑ready machine learning models that can be integrated in our ecosystem, with various applications (e.g. content generation, development assistants, etc.). In this role, you will

• Create and deliver production‑ready, scalable and high‑quality machine learning models and associated algorithms
• Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap
• Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience
• Experience creating / applying machine learning algorithms for vision (2D or 3D) or language problems and deploying them as production‑level systems
• Expert, hands‑on knowledge of:
  • Deep learning, incl. but not limited to applications in the gaming industry
  • Foundational models and vision and/or language, incl. local deployment of open models, continued training and fine‑tuning cloud and local models
  • Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)
• Experience with working collaboratively with other developers, following a flexible/agile/lean approach

At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award‑winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. What We Do Unreal projects have been leading the pack of real‑time entertainment with our constantly growing team of engineering experts. We're always improving on the tools and technology that empower content developers worldwide.

What You’ll Do, We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well‑being program through Modern Health, which provides free therapy and coaching for employees & dependents.

Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we’ve been making award‑winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before.

Epic’s award‑winning Unreal Engine technology not only provides game developers the ability to build high‑fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design.

As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world‑class talent. Like what you hear? Come be a part of something Epic!

Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

Overview

I am working with an AI Tech Start-Up developing AI solutions for engineering benefits, looking for an AI Machine Learning Engineer. The client is based in London with a flexible working model and a new office space in Central London. They are hiring to collaborate with the founders and other teams 2-3 days a week. Alongside a competitive salary, there is an opportunity to receive shares in a growing start-up focused on delivery technology to impact everyday life.

As the AI Machine Learning Engineer, you will join a small team where you can have a large impact on the overall development of the company's software and AI models, and help shape the future of this deep-tech software. You will be involved in and hands-on with designing, training, and optimising neural networks, particularly CNNs. You will be responsible for handling and preprocessing large-scale point cloud datasets and high-resolution images, while also managing 3D feature extraction, denoising, and registration techniques for point cloud data.

• Degree in Computer Science, Data Science, or similar from a Russell Group University
• 2+ years of industry or research experience with Neural Networks, preferably CNNs
• Strong hands-on experience using Python, TensorFlow, PyTorch, Open3D, NumPy
• Experience with handling large-scale point cloud datasets
• Experience in 3D features and image processing
• Experience in AWS, GCP or Azure

• Strong motivation and desire to work in a start-up environment
• Interest in computer science and engineering problem-solving
• Experience working with cross-functional teams

You must be based in the UK without the need for sponsorship for this position.

If you are interested in applying for this role and would like to understand more about my client, please get in touch with

Company Description

Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at

Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to For any other non-disability related questions, please reach out to our Talent Partners.

Depop is looking for a dedicated Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop.

• Research, design and deliver machine learning solutions to solve cross-cutting problems within the fashion resale space
• Work with and finetune models for representation learning, computer vision, and classification
• Understand requirements from various stakeholders across the business, designing general-purpose machine learning solutions to power features like content understanding, moderation, and personalization
• Set up and conduct large-scale experiments to test hypotheses and drive model and product improvements
• Keep up to date with research, contribute to internal knowledge sharing and ML best practices, and help the team stay informed about new techniques and approaches relevant to our work
• Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping
• Report and present technical findings to technical and non-technical audiences

Skills and Experience

• Experience working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problems
• Solid understanding of machine learning concepts, familiarity with frameworks such as Transformers, PyTorch or TensorFlow
• Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps
• Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders
• Passion for learning new skills and staying up-to-date with ML algorithms

• Experience with NLP, image classifiers, deep learning, or large language models
• Experience with experiment design and conducting A/B tests
• Experience building shared or platform-style ML systems
• Experience with Databricks and PySpark
• Experience working with AWS or another cloud platform (GCP/Azure)

• PMI and cash plan healthcare access with Bupa
• Subsidised counselling and coaching with Self Space
• Cycle to Work scheme with options from Evans or the Green Commute Initiative
• Employee Assistance Programme (EAP) for 24/7 confidential support
• Mental Health First Aiders across the business for support and signposting

• 25 days annual leave with option to carry over up to 5 days
• 1 company-wide day off per quarter
• Impact hours: Up to 2 days additional paid leave per year for volunteering
• Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop
• Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options (role dependent)
• All offices are dog-friendly
• Ability to work abroad for 4 weeks per year in UK tax treaty countries

• 18 weeks of paid parental leave for full-time regular employees
• IVF leave, shared parental leave, and paid emergency parent/carer leave

• Budgets for conferences, learning subscriptions, and more
• Mentorship and programmes to upskill employees

• Life Insurance (financial compensation of 3x your salary)
• Pension matching up to 6% of qualifying earnings

• Employees enjoy free shipping on their Depop sales within the UK.
• Special milestones are celebrated with gifts and rewards!