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Business Intelligence Analyst

London (hybrid, 2 days per week in the office) | Up to £60,000

This is an opportunity to join a growing data function at a business undergoing a significant data transformation. You will play a central role in shaping how data is used across the organisation, acting as a trusted partner to multiple teams and helping to embed a strong self-serve BI culture using Power BI.

The Company

They are a well-established organisation operating within a highly regulated financial services environment, supporting complex decision-making through data. The business combines a stable, mature structure with a collaborative and down-to-earth culture. Data is seen as a strategic asset, with clear backing for investment in modern tooling and internal capability. Career development and internal progression are actively encouraged.

The Role

You will work closely with stakeholders across sales, finance, commercial, product and marketing to turn data into clear, actionable insight. The role is broad and hands-on, suiting someone who enjoys variety and taking ownership.

• Design, build and maintain dashboards and reports in Power BI to support business decision-making
• Partner with stakeholders to understand requirements and translate them into effective BI solutions
• Deliver analysis to answer commercial and operational questions
• Champion self-serve analytics and demonstrate the value of Power BI across the business
• Contribute to a wider data platform migration, working with engineers and architects
• Help improve data quality, reporting standards and overall BI best practice

Your Skills and Experience

• Strong commercial experience in Business Intelligence or data analytics
• Advanced SQL capability for querying and analysing data
• Strong Power BI experience, including data modelling and visualisation best practice
• Confidence working directly with non-technical stakeholders and gathering requirements
• Solid understanding of data analysis techniques and how to communicate insight clearly
• Exposure to modern data platforms or cloud environments is beneficial
• DAX or Python knowledge is advantageous but not essential

What They Offer

• Salary up to £60,000
• Hybrid working with two days per week in a central London office
• The chance to work on a high-impact data migration programme
• Clear opportunities for learning, development and internal progression
• A professional yet relaxed working environment

How to Apply

Apply now to find out more about this Business Intelligence Analyst opportunity and how it could fit your next career move.

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Senior Data Engineer

Remote UK or Republic of Ireland | £55,000 to £75,000

This Senior Data Engineer role stands out for its focus on greenfield data projects, genuine ownership, and the opportunity to work end to end on modern cloud data platforms. You will join a growing data function where engineers are trusted to make decisions, lead delivery, and have real impact without heavy layers of management.

The Company

They are a fast growing organisation investing heavily in their data capability to support long term scale. The business operates a fully remote model across the UK and Republic of Ireland, giving engineers flexibility while remaining closely connected as a team. Their data function is led by an experienced Head of Data and is built around modern engineering principles, autonomy, and continuous improvement. Ongoing hiring plans reflect a strong commitment to data as a core capability.

The Role

• Lead the design and delivery of greenfield data engineering projects from concept through to production
• Build and maintain robust data pipelines, transformations, and orchestration workflows
• Design cloud based data solutions starting from source systems
• Deploy and manage environments, with a focus on reliability and scalability
• Take ownership of projects and act as a technical point of contact for stakeholders and clients
• Contribute to ongoing optimisation and improvement of the data platform

Your Skills and Experience

• Strong commercial experience using Python and SQL in data engineering environments
• Proven ability to lead projects independently and take responsibility for delivery
• Experience building data pipelines, transformations, and workflows in modern data stacks
• Confidence communicating directly with stakeholders and clients
• Comfortable working autonomously in a fast moving, remote environment
• Experience with infrastructure as code such as Terraform is beneficial but not essential

What They Offer

• Exposure to greenfield projects and modern cloud data platforms
• Clear progression opportunities as the data team continues to scale
• A culture that values ownership, trust, and proactive problem solving

How to Apply

If you are a Senior Data Engineer looking for autonomy, impact, and the chance to shape modern data platforms, apply now to learn more

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Product Manager Fintech Onboarding and Growth
London Hybrid three days onsite Tuesday to Thursday. £90,000 to £110,000 plus bonus and benefits.
This role sits at the heart of customer growth for a scaled fintech product. You will own onboarding and activation journeys, shaping how users first experience a digital wallet and ensuring compliant, friction light entry into the product.
The Company
They are a global consumer platform expanding rapidly into financial services. Their digital wallet and payments product is live across multiple markets and continues to scale, supported by cross functional teams distributed internationally.
The Role
You will own the end to end onboarding and activation experience, with a strong focus on conversion, compliance, and early engagement.
Key responsibilities include:

• Designing and optimising onboarding journeys from sign up to activation
• Owning KYC and identity verification flows within a regulated environment
• Analysing funnel performance and identifying drop off points
• Driving improvements to activation and early lifecycle engagement metrics
• Supporting product launches and localisation for new markets
• Working closely with engineering, design, and compliance teams

Your Skills and Experience

• Proven product management experience in fintech or regulated B2C products
• Ownership of onboarding, activation, or growth focused journeys
• Hands on experience with KYC or identity verification processes
• Strong analytical capability across funnels, conversion, and user behaviour
• Experience working on mobile products at meaningful scale

What They Offer

• Salary of £90,000 to £110,000 plus a discretionary bonus
• Equity through stock options
• Private healthcare and dental cover
• Hybrid working with three days per week in the London office
• Opportunity to shape growth strategy within a global fintech product

How to Apply
Apply now to find out more about this role and how it could fit your next career move.

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Title: Research Engineer, Data

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.

This is a high-impact, research-meets-engineering role focused on the data that powers advanced AI systems. You’ll own how models learn, designing datasets, running experiments, and building data pipelines that directly shape model capabilities across a wide range of applications.

What You’ll Do

• Design multimodal, multitask datasets to unlock new model capabilities
• Run controlled experiments to understand how data impacts model performance
• Build and scale pipelines for synthetic data generation, filtering, and quality control
• Define evaluation frameworks and benchmarks to measure real-world model improvement
• Partner with cross-functional teams to translate product goals into data strategies

Requirements

• 4+ years of experience in machine learning, ideally with a data-centric focus
• Experience working with large multimodal datasets and generative models
• Strong intuition for how data quality and composition impact model behavior
• Experience across the full ML lifecycle, from data to training to evaluation
• Proficiency with ML frameworks such as PyTorch or JAX
• Experience with distributed systems or compute tools (e.g., Ray, Kubernetes)
• Strong interest in advancing next-generation AI systems

Nice to Have

• Experience with synthetic data generation or data curation at scale
• Background working on multimodal or video-based models
• Exposure to evaluation and benchmarking for generative systems

If you’re interested in shaping the data that defines what AI models can learn and do, this is a unique opportunity to work at the forefront of multimodal AI.

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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.

This is a deeply technical, high-impact role focused on making large-scale AI systems faster, more efficient, and capable of running in real time. You’ll work across the stack, from low-level GPU kernels to distributed training systems, directly influencing what is computationally possible for next-generation AI models.

What You’ll Do

• Optimize training throughput across large GPU clusters, improving efficiency and utilization
• Implement techniques such as mixed precision (FP8, BF16), memory-efficient attention, and checkpointing
• Design and scale distributed training systems (tensor parallelism, FSDP, multi-node setups)
• Profile and optimize inference pipelines for real-time multimodal generation
• Improve latency through CUDA graphing, KV cache optimization, and operator fusion
• Contribute across the stack, from kernel-level optimization to system-level architecture

Requirements

• 4+ years of experience in systems engineering, ML infrastructure, or performance optimization
• Strong experience with GPU programming (CUDA, Triton, or similar)
• Experience with distributed systems and large-scale training (NCCL, model parallelism)
• Familiarity with ML framework internals such as PyTorch or JAX
• Experience with mixed or low-precision techniques (FP8, INT8, BF16)
• Proven experience building and operating scalable, fault-tolerant training systems
• Strong interest in pushing the limits of performance for cutting-edge AI systems

Nice to Have

• Experience with compiler optimizations or model compilation (e.g., PyTorch compile)
• Background working on large multimodal or generative models
• Exposure to real-time inference systems

If you’re interested in working on the systems that enable next-generation AI models to train faster and run in real time, this is a rare opportunity to operate at the cutting edge of research and infrastructure.

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Title: Staff AI Engineer

Location: Remote, United States

Compensation: Up to $280,000 + Equity

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

Requirements

• 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.

To Apply for this Job Click Here

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Title: Senior AI Engineer

Location: Remote, United States

Compensation: Up to $240,000 + Equity

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

Requirements

• 6+ 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.

To Apply for this Job Click Here