- 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.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
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.
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Occupation family: Machine Learning Engineer
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