Founding Machine Learning Engineer £140,000 - £160,000 + Equity 3 days minimum in Central London Opus are hiring on behalf of a fast-growing, Y Combinator-backed start-up that’s redefining how financial data is processed and understood. Operating at the intersection of AI and enterprise infrastructure, this company is building intelligent systems that extract meaning from complex, unstructured...
Senior Machine Learning Engineer Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.£55,000 - 65,000 GBPHybrid WORKINGLocation: Central London, Greater London - United Kingdom Type: PermanentSenior Machine Learning Engineer - National Security (London, Hybrid)Salary: Up to £65,000 per year + £7,000 DV clearance bonus...
You will join the Data team as a Senior Researcher, taking ownership of the core algorithms that drive the platform’s decision-making.
You will be working with messy, real-world data to create sophisticated models that can predict human behaviour and business needs with high accuracy.
Machine Learning Engineer London – (3 days a week in office) Up to £90,000 About the Role Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible business impact. As a...
MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and...
Senior / Staff Machine Learning Engineer - Gaming London – Hybrid Competitive Salary + Benefits About the Role Our client is a global, technology-led organisation operating at the intersection of machine learning, computer vision, and interactive entertainment. They are investing heavily in advanced R&D to transform how quality assurance is done at scale. This role sits within a...
You will define engineering strategy for large-scale machine learning initiatives, architect and deliver resilient AI platforms, lead multi-stream programmes in ambiguous environments, build shared internal tooling, hire and mentor senior engineers, introduce new technologies and ways of working, and act as a trusted technical authority for senior stakeholders.
Job Description Machine Learning Scientist [Analyst/Associate] About the job As a Machine Learning Scientist on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning...
Job Description MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model...
Job Description Job Description: *Responsibilities:* Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage company's powerful infrastructure (through e.g. source control, distributed compute clusters, data storage) Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly...
You will be joining a highly collaborative and talented team that is revolutionising how operational planning is conducted at scale and speed. Primary Responsibilities: - Shape the company’s AI trajectory by developing AI solutions to solve high-stakes problems - Collaborate closely with military experts, along with the product team, to identify and capitalise on high-impact opportunities
Machine Learning Scientist [Analyst/Associate] About the job As a Machine Learning Scientist on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock...
You will work in a highly collaborative environment with ML scientists and software engineers to deliver impactful solutions for the advertising domain. In this role, you will: - Design, implement, and maintain large-scale machine learning pipelines for advertising use cases, including feature engineering, model training, validation, and deployment.
Machine Learning Engineer Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap. London – (3 days a week in office) Up to £90,000 About the Role Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery...
Job Description Job Description: *Responsibilities:* Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage company's powerful infrastructure (through e.g. source control, distributed compute clusters, data storage) Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly...
Machine Learning Engineer Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.£65,000 GBPOnsite WORKINGLocation: Central London, Greater London - United Kingdom Type: PermanentAn opportunity is available for an experienced Senior Machine Learning Engineer to design, build and operationalise advanced machine learning solutions...
You will be joining a highly collaborative and talented team that is revolutionising how operational planning is conducted at scale and speed. Primary Responsibilities: - Shape the company’s AI trajectory by developing AI solutions to solve high-stakes problems - Collaborate closely with military experts, along with the product team, to identify and capitalise on high-impact opportunities
Job Description Lead Machine Learning Engineer Up to 145k Xcede has just partnered with one of the UK’s most established applied AI companies to support the growth of their senior engineering leadership team. This is a principal-level technical role for someone who wants to shape how large-scale AI systems are designed, built, and delivered across multiple industries. You’ll take ownership of...
You will define engineering strategy for large-scale machine learning initiatives, architect and deliver resilient AI platforms, lead multi-stream programmes in ambiguous environments, build shared internal tooling, hire and mentor senior engineers, introduce new technologies and ways of working, and act as a trusted technical authority for senior stakeholders.
Machine Learning Quant - Start Up Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.£150,000 GBP+ performance bonus + internal fund investmentOnsite WORKINGLocation: Central London, Greater London - United Kingdom Type: PermanentMy client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a...