- Company: Get A Job.ai
- Location: London
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
Responsibilities
We are representing a confidential quantitative trading firm seeking a Machine Learning Engineer for their London office. In this role, you will collaborate with experienced mentors on real-world machine learning projects that directly impact business operations. You'll work within a fast-paced trading environment that serves as a unique platform for ML experimentation, allowing rapid iteration and deployment of new ideas.
Your projects will range from exploring open-ended research questions to building production systems. You'll have access to substantial GPU infrastructure and gain hands-on experience applying machine learning techniques to complex, noisy financial datasets. This position offers close mentorship from full-time engineers who have designed the projects you'll be working on.
What We're Looking For
Our client seeks candidates who demonstrate strong technical ability combined with intellectual curiosity and collaborative spirit. Specific qualifications include:
- Current undergraduate, postgraduate, or PhD student with practical machine learning experience
- Hands-on experience training ML models, working on ML libraries, or optimising ML workflows
- Exceptional programming skills and passion for technology
- Collaborative mindset with eagerness to learn and grow
- Humility and comfort asking questions and acknowledging areas for development
- Fluency in English
Our client values how you think and learn over your current knowledge base. Experience in finance is not required—many successful team members had never considered financial careers before joining.
How We Work With You
Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and career goals. Qualified candidates will be submitted to our client for consideration. Please do not contact the client directly—all communication should flow through our recruiting team to ensure a smooth process.
The interview process includes technical coding interviews followed by on-site rounds, with dedicated assessment of ML engineering skills.
Pay
Compensation details will be discussed during the screening process with our recruiting team.
Equal Opportunity
Get A Job.ai is committed to equal employment opportunity and welcomes applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Explore Get A Job.ai online
Working in London, UK
Weather right now in London, UK: checking… · Local time: · Air quality: · Daylight: · UV index: · Wind: · Pollen:
London is the capital and largest city of England and the United Kingdom, with a population of 9.1 million people in 2024. Its wider metropolitan area is the largest in Western Europe, with a population of 15.4 million. London stands on the River Thames in southeast England, at the head of a 50-mile (80 km) tidal estuary down to the North Sea, and has been a major settlement for nearly 2,000 years. Its ancient core and financial centre, the City of London, was founded by the Romans as Londinium and has retained its medieval boundaries. The City of Westminster, to the west of the City of London
England is a country that is part of the United Kingdom. It is located on the island of Great Britain, of which it covers about 62%, and more than 100 smaller adjacent islands. England shares a land border with Scotland to the north and another land border with Wales to the west, and is surrounded by the North Sea to the east, the English Channel to the south, the Celtic Sea to the south-west, and
Nearby green space: 12 parks within 1.5km — closest is Whitehall Garden (364m). via OpenStreetMap
Nearest public transit: Charing Cross (station, 41m). via OpenStreetMap
- Elevation 18m (59 ft)
Source: Wikipedia (state)
About this role & career path
Traits that fit this role
- Innovation
- Adaptability
- Perseverance
- Achievement Orientation
- Intellectual Curiosity
Source: O*NET Work Styles (Distinctiveness Rank).
Typical preparation needed: Job Zone 5: Extensive Preparation Needed. Most of these occupations require graduate school -- for example, a master's degree, and some require a Ph.D., M.D., or J.D. — via O*NET
Industry news
- I was a software engineer who couldn't get excited about AI. Now I'm studying to be a nurse. - Business Insider
- ‘AI code apocalypse’ hasn’t hit engineers as hard as the industry may think - IT Brew
- The Great Coding Reset: How AI is changing software engineering - Business Insider
Source: O*NET (public-domain bulk data)
Salary & compensation
Workers in Computer & Mathematical occupations earn a national median of $98,769 — via US Census ACS / Data USA
Market context
- Similar listings in London 1
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Machine Learning Engineer
- Employer Get A Job.ai
- Location London
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 24, 2026
- Apply by October 24, 2026
- Overview Full job description on this page (339 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Machine Learning Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Analyze problems to develop solutions involving computer hardware and software.
- Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
- Assign or schedule tasks to meet work priorities and goals.
- Meet with managers, vendors, and others to solicit cooperation and resolve problems.
- Design computers and the software that runs them.
- Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Machine Learning Engineer
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