AI Consultant
London / £75000 - £90000 annum
INFO
£75000 - £90000
LOCATION
London
Permanent
AI Consultant
London | Up to £90,000This is a standout opportunity for an AI Consultant to join a growing AI and Analytics function at a well established data driven organisation. Sitting at consultant level within a specialist AI lab, this role offers the chance to work on varied, high impact projects that shape how AI is applied to complex commercial decision making.
The Company
They are a large, data led organisation whose core purpose is helping businesses make better, more accurate decisions using advanced analytics. With deep, proprietary data assets and long standing partnerships across financial services and other regulated industries, analytics sits at the heart of everything they do. They have recently invested heavily in a specialist AI Lab to accelerate the use of AI and machine learning across products and client solutions. The culture is collaborative and stable, with strong retention and clear long term career paths.
The Role
You will be part of a specialist AI lab focused on enhancing existing offerings and developing new AI driven solutions. The role is hands on and research led, with exposure to a wide range of use cases.
Key responsibilities include:
- Developing and enhancing AI and machine learning models, including scorecards and predictive models.
- Applying techniques such as LLMs, transformers and chatbots to real world business problems.
- Contributing to research and development for new products and innovative analytical approaches.
- Working closely with stakeholders to translate business problems into effective AI solutions.
- Supporting and guiding more junior team members where needed.
- Strong commercial experience in credit risk modelling within a lender, fintech or similar data rich environment.
- Proven capability in model development, particularly scorecards or predictive models.
- Hands on experience applying AI or machine learning, such as LLMs, chatbots or advanced ML techniques.
- Strong Python and SQL skills for data analysis and model development.
- Ability to communicate complex analytical concepts clearly to non technical audiences.
- Salary up to £90,000.
- Hybrid working with three set days per week in the office.
- Exposure to varied, high impact projects across multiple industries.
- Clear progression within a growing AI and Analytics function.
- A supportive culture where people tend to stay and build long term careers.
If you are looking for a role where you can apply AI to meaningful commercial problems and develop your career within a specialist data environment, apply now for immediate consideration.
CONTACT
Sarah Heywood-Jones
Recruitment Executive
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Title: Research Engineer, Data
Location: USA Remote
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We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.
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To Apply for this Job Click Here
Title: Senior AI Engineer
Location: Remote, United States
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We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.
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- Make key architectural decisions across model infrastructure, tooling, and workflows
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- Familiarity with data platforms or analytics tooling
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- Exposure to LLM evaluation platforms or tooling
- Contributions to open source, research, or technical communities
If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.
To Apply for this Job Click Here
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$280000 - $370000
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To Apply for this Job Click Here
Title: Research Engineer, GPU
Location: USA Remote
Compensation: Up to $400k + Equity
We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.
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- Familiarity with ML framework internals such as PyTorch or JAX
- Experience with mixed or low-precision techniques (FP8, INT8, BF16)
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- Strong interest in pushing the limits of performance for cutting-edge AI systems
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To Apply for this Job Click Here
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To Apply for this Job Click Here
Title: Staff AI Engineer
Location: Remote, United States
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We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.
This is a high-impact role where you will help define how AI is architected across the company. You won’t just be building features. You’ll make foundational decisions around systems, evaluation, and long-term technical direction, working across LLMs, retrieval systems, and agent-based workflows in production environments.
What You’ll Do
- Design and own production AI systems end-to-end, including LLM pipelines, retrieval systems, and orchestration layers
- Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
- Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
- Analyze production behavior, identify failure modes, and drive improvements based on data
- Make key architectural decisions across model infrastructure, tooling, and workflows
- Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
- Lead best practices for building reliable, observable, and cost-efficient AI systems
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- 10+ years of software engineering experience, including 3+ years working on ML or AI systems
- Proven experience owning and deploying production LLM systems
- Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
- Experience designing evaluation systems and improving models through quantitative analysis
- Strong Python skills, with solid software engineering fundamentals
- Experience making architectural decisions that influence team or org direction
- Strong understanding of production systems, including reliability, observability, and cost tradeoffs
- Ability to break down ambiguous problems and operate with a high degree of ownership
- Clear communication skills and experience working cross-functionally
Nice to Have
- Experience in regulated domains such as compliance or security
- Familiarity with data platforms or analytics tooling
- Experience with orchestration frameworks (e.g., Temporal, Airflow)
- Exposure to LLM evaluation platforms or tooling
- Contributions to open source, research, or technical communities
If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.
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