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Growth and Product Analytics Lead

London (Office-based – 5 days per week)

Salary: Up to £180,000 + Excellent Benefits

A high-growth technology business is looking for a Growth Analytics Lead to join, working directly with the CEO and senior leadership team to drive strategic, data-led decision making.

This is a rare opportunity for a commercially minded analytics leader to own the insights behind growth, product and go-to-market strategy. Rather than producing reports or dashboards, you’ll identify opportunities, build solutions, influence business decisions and measure their impact.

What you’ll be doing

• Own analytics across product, commercial and growth initiatives

• Identify opportunities to improve customer activation, adoption and retention

• Deliver insights on pricing, monetisation and expansion opportunities

• Design and analyse product experiments

• Build robust analytics using SQL, dbt and modern data platforms

• Translate complex data into clear recommendations for senior stakeholders

• Partner closely with leadership to shape company strategy

What we’re looking for

• Strong experience in Growth, Product or Commercial Analytics

• Hands-on technical skills with SQL and modern analytics tools

• Proven ability to influence commercial outcomes through data

• Experience within a high-growth SaaS or technology environment

• Excellent communication and stakeholder management skills

• Comfortable working autonomously in a fast-paced, ambiguous environment

What’s on offer

• Salary up to £180,000

• Comprehensive benefits package

• Direct exposure to the CEO and executive leadership

• Significant ownership and autonomy

• Opportunity to shape the growth strategy of a rapidly scaling technology business

If you’re a commercially focused analytics professional who enjoys solving complex business problems and wants to make a measurable impact in a high-growth environment, we’d love to hear from you.

Find out more and apply via the link below!

To Apply for this Job Click Here

To Apply for this Job Click Here

Azure Cloud Engineer

Up to £60,000
Oxfordshire (Hybrid – 1 day per week)

This is a great opportunity to join a high‑growth organisation where you can take ownership of designing and delivering cloud infrastructure within a fully Azure-native environment.

THE COMPANY:

This is a consultancy-led technology business delivering innovative cloud and AI-driven solutions across multiple industries. The organisation partners closely with clients to deliver complex transformation programmes with real, measurable outcomes. The business operates at the intersection of consulting and technology, combining deep domain expertise with modern cloud engineering to drive innovation, efficiency, and growth across its client base.

THE ROLE:

You will take ownership of Azure cloud architecture and engineering across the business, acting as the technical authority within a small but highly impactful cloud function.
Key responsibilities include:

• Designing, building, and maintaining Azure cloud infrastructure
• Acting as a subject matter expert, providing architectural guidance and solution design
• Supporting internal consultants with cloud solutioning and infrastructure recommendations
• Building and managing cloud resources (VMs, SQL Servers, Web Apps, Docker environments)
• Developing and maintaining CI/CD pipelines using Azure DevOps and GitHub
• Driving a code-first approach with Infrastructure-as-Code and automation
• Leading on cloud integrations, including Azure Integration Services
• Supporting governance, security, compliance, backup, and recovery processes
• Contributing to AI-driven and innovation-focused internal projects
• Mentoring junior engineers and setting technical standards across the team

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands-on Microsoft Azure engineering and architecture
• Designing scalable, secure cloud solutions end-to-end
• Infrastructure-as-Code (ideally Bicep or Terraform)
• Building and managing CI/CD pipelines (Azure DevOps / GitHub Actions)
• Cloud automation using PowerShell and Azure CLI
• Strong stakeholder engagement and communication skills
• Security, governance, and compliance within cloud environments

THE BENEFITS:

You will receive a salary up to £60,000 depending on experience, along with a comprehensive benefits package

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Data Scientist

Remote | Salary up to $220,000 + 15% bonus

This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.

The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.

The Role

• Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
• Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
• Collaborate with cross-functional stakeholders to identify opportunities and define requirements
• Apply generative AI and other advanced methodologies to solve real-world problems
• Translate technical findings into clear, actionable insights for senior stakeholders
• Oversee project timelines and ensure successful delivery across multiple workstreams

Your Skills and Experience

• Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
• Deep understanding of production-level AI systems and recent exposure to generative AI techniques
• Proven ability to lead complex projects end to end, from concept through to deployment
• Experience working cross-functionally with product, engineering, or business teams
• Clear and collaborative communication style, with the ability to influence senior stakeholders
• Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar

What They Offer

• Salary up to $220,000 with a 15% performance bonus
• Fully remote working with flexibility and autonomy
• Opportunity to work on high-impact AI initiatives at scale
• Collaborative, forward-thinking technical environment
• Clear scope for progression into broader technical or strategic leadership roles

How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.

To Apply for this Job Click Here

To Apply for this Job Click Here

Azure Cloud Engineer

Up to £60,000
Oxfordshire (Hybrid – 1 day per week)

This is a great opportunity to join a high‑growth organisation where you can take ownership of designing and delivering cloud infrastructure within a fully Azure-native environment.

THE COMPANY:

This is a consultancy-led technology business delivering innovative cloud and AI-driven solutions across multiple industries. The organisation partners closely with clients to deliver complex transformation programmes with real, measurable outcomes. The business operates at the intersection of consulting and technology, combining deep domain expertise with modern cloud engineering to drive innovation, efficiency, and growth across its client base.

THE ROLE:

You will take ownership of Azure cloud architecture and engineering across the business, acting as the technical authority within a small but highly impactful cloud function.
Key responsibilities include:

• Designing, building, and maintaining Azure cloud infrastructure
• Acting as a subject matter expert, providing architectural guidance and solution design
• Supporting internal consultants with cloud solutioning and infrastructure recommendations
• Building and managing cloud resources (VMs, SQL Servers, Web Apps, Docker environments)
• Developing and maintaining CI/CD pipelines using Azure DevOps and GitHub
• Driving a code-first approach with Infrastructure-as-Code and automation
• Leading on cloud integrations, including Azure Integration Services
• Supporting governance, security, compliance, backup, and recovery processes
• Contributing to AI-driven and innovation-focused internal projects
• Mentoring junior engineers and setting technical standards across the team

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands-on Microsoft Azure engineering and architecture
• Designing scalable, secure cloud solutions end-to-end
• Infrastructure-as-Code (ideally Bicep or Terraform)
• Building and managing CI/CD pipelines (Azure DevOps / GitHub Actions)
• Cloud automation using PowerShell and Azure CLI
• Strong stakeholder engagement and communication skills
• Security, governance, and compliance within cloud environments

THE BENEFITS:

You will receive a salary up to £60,000 depending on experience, along with a comprehensive benefits package

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior AI Product Engineer

San Francisco Bay Area (Hybrid | 3 days onsite) Compensation: Up to $250,000 Base + Equity

Build AI Products That Reach Real Users

We’re looking for an experienced AI Product Engineer to help build and scale the next generation of AI-powered products.

This is a hands-on role for someone who thrives at the intersection of software engineering, product thinking, and applied AI. You’ll work across the full life cycle of intelligent systems, from initial concept and prototyping to production deployment, evaluation, and continuous improvement.

If you’ve successfully shipped AI-powered features that deliver measurable value to users and enjoy solving complex problems with both technical depth and customer empathy, we’d love to meet you.

What You’ll Do

• Design, build, and deploy production-grade AI applications and agentic systems
• Partner closely with product, engineering, and leadership teams to identify high-impact opportunities for AI
• Own features end-to-end, from architecture and implementation through monitoring and optimization
• Develop robust evaluation frameworks to measure quality, reliability, and business impact
• Continuously improve system performance through experimentation, testing, and iteration
• Help establish best practices for building scalable, maintainable AI products
• Contribute to a collaborative engineering culture focused on learning, innovation, and execution

What We’re Looking For

Required Qualifications

• Experience building and shipping customer-facing AI products into production
• Strong software engineering foundation with experience in backend or full-stack development
• Experience working with LLM-powered applications, agentic systems, or AI-driven workflows
• Proficiency in Python and/or TypeScript
• Experience evaluating, debugging, and improving AI system performance
• Ability to make thoughtful technical decisions and communicate trade-offs clearly
• Strong ownership mindset with a track record of delivering impactful products

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG)
• Familiarity with agent frameworks, orchestration platforms, or AI infrastructure tools such as LangChain, AWS Bedrock, LlamaIndex, or similar technologies
• Experience operating AI systems at scale in production environments
• Startup or high-growth company experience

What Success Looks Like

The strongest candidates have:

• Built AI-powered products that moved beyond prototype and reached real users
• Demonstrated ownership of both product outcomes and technical execution
• Experience creating evaluation and feedback loops that improve model quality over time
• A track record of balancing speed with thoughtful engineering decisions
• The ability to clearly explain what they built, why they built it, and what they learned along the way

Leveling

We are hiring at multiple levels based on experience and impact:

• Senior AI Product Engineer: Approximately 4-6 years of experience
• Senior AI Product Engineer II: Approximately 6-8 years of experience

Why Join?

• Work on cutting-edge AI products with meaningful user impact
• High ownership and influence on technical direction
• Competitive compensation package including equity
• Opportunity to help define how AI is integrated into real-world applications
• Collaborate with a team that values curiosity, execution, and continuous learning

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior AI Engineer – Remote

Join a growing AI team building production-grade machine learning and generative AI solutions that solve complex real-world challenges. This is an opportunity to combine AI research, engineering, and innovation in a highly autonomous role.

The Company
They are a technology business investing heavily in AI, with a focus on developing advanced machine learning, generative AI, and agentic systems. The environment is research-led, collaborative, and focused on turning cutting-edge ideas into scalable products.

The Role

• Design and deploy machine learning, deep learning, and LLM-based solutions
• Build RAG pipelines, agentic AI systems, and model evaluation frameworks
• Work across the full AI lifecycle from problem definition to deployment
• Apply both classical ML techniques and modern AI approaches
• Use AI-assisted development tools such as Claude Code, Codex, or similar
• Help shape technical direction and mentor other engineers

Your Skills & Experience

• Strong commercial experience across machine learning and generative AI
• Hands-on expertise with Python, PyTorch, Scikit-learn, and Hugging Face
• Experience building production AI systems and MLOps pipelines
• Practical use of AI coding assistants and agentic engineering workflows
• Ability to own projects independently from concept to delivery
• MSc required, PhD advantageous

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior AI/ML Engineer – Foundation Models & Agentic AI
Life Sciences AI | Biotech / Therapeutics / Computational Biology

What You’ll Work On

• Develop and train proprietary foundation models on multi-omics data (genomics, transcriptomics, proteomics, metabolomics)
• Design novel algorithms to integrate and differentiate across omics modalities
• Own the full training pipeline: data ingestion, tokenization, pretraining, and evaluation
• Push the state of the art – we are building models that do not exist yet

Agentic AI for Life Sciences

• Build and deploy AI agents that assist researchers across therapeutic development, computational chemistry, and biology
• Design multi-agent architectures using LangChain, LangGraph, and custom orchestration layers
• Integrate agents with internal databases, experimental systems, and third-party scientific tools
• Develop agentic workflows for use cases in cosmetics R&D, drug discovery, and clinical analysis

Production ML Infrastructure

• Own model deployment, scaling, and serving infrastructure
• Optimize inference using NVIDIA TensorRT-LLM, Dynamo, Triton, and related tooling
• Partner with software engineering on integration into our broader platform
• Maintain reliability, performance, and observability across deployed models

What We’re Looking For

Required

• Strong hands-on ML/AI engineering experience – you write real code, not just direct others
• Deep proficiency in Python and PyTorch – this is non-negotiable
• Experience training, fine-tuning, and deploying foundation models from scratch or from pretrained checkpoints
• Familiarity with the Hugging Face ecosystem (Transformers, Datasets, PEFT, Accelerate)
• Experience with LangChain and/or LangGraph for agentic pipeline development
• Working knowledge of the NVIDIA stack: TensorRT-LLM, Triton Inference Server, Dynamo
• Comfort with large-scale distributed training tools: DeepSpeed, xFormers
• Strong understanding of state-of-the-art model architectures (transformers, SSMs, diffusion, etc.)
• Ability to collaborate across technical and non-technical teams – bio, chem, software, clinical
• Excellent communication skills – you can explain a training run to a chemist

Strongly Preferred

• Experience with omics data (any modality: genomic, proteomic, transcriptomic, metabolomic)
• Background in computational biology, computational chemistry, or bioinformatics
• Prior work in biotech, pharma, or life sciences AI (not required but a plus)
• Experience building or contributing to multi-agent systems in a production environment
• Track record of independent research or open-source contributions in ML

Technical Skills Summary

Core ML / Training

• PyTorch – primary framework
• DeepSpeed – distributed training and ZeRO optimization
• xFormers – memory-efficient attention and transformer components
• Hugging Face Transformers, PEFT, Accelerate
• Training and fine-tuning large language and multimodal models

Inference & Deployment

• NVIDIA TensorRT-LLM – high-performance LLM inference
• NVIDIA Dynamo – inference orchestration and scheduling
• Triton Inference Server – model serving and batching
• Model quantization, distillation, and latency optimization

Agentic & Orchestration

• LangChain / LangGraph – agent design and multi-agent orchestration
• Tool-use, RAG pipelines, and memory systems
• API and system integration across scientific data sources

To Apply for this Job Click Here

To Apply for this Job Click Here

Clinical Data Scientist
San Francisco, California

Remote

$160,000 – $190,000 + Equity

About the Company

This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.

About the Role

As a Clinical Data Scientist, you’ll execute the last leg of the clinical data pipeline by transforming, cleaning, validating, and delivering high‑quality clinical datasets for pharma partners. Heavy collaboration with Clinical Ops, AI Engineering, and Data Delivery.

Role Responsibilities

• Transform raw, abstracted, and AI‑processed data into CDISC SDTM/ADaM datasets
• Program statistical outputs (tables, listings, figures) in SAS/R/Python
• Investigate data anomalies across multiple messy data inputs
• Define data dictionaries and standards before study kickoff
• Handle data in a HIPAA‑aligned manner

Key Requirements

• 2-5 years in clinical data science, stat programming, or clinical data management
• Pharma/Biotech experience
• SAS, R, Python, SQL
• Real‑world clinical data or oncology trials
• CDISC SDTM/ADaM

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist – START UP – EQUITY

We are working with an exciting start up company who are committed to making affordable, flexible loans for their customers. This will be their first Data Science hire in the company and will have full ownership on ML models across the business.

Required Experience:

• Experience working in Lending, Loans, Insurance or Credit businesses
• Experience building and deploying Credit Risk Data Models
• AWS, Python & SQL experience

Important Information

• 2 days a week in London
• Up to £70K base
• Equity
• No additional benefits

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Azure Cloud Engineer

Up to £80,000
Oxfordshire (Hybrid – 1 day per week)

This is a great opportunity to join a high‑growth organisation where you can take ownership of designing and delivering cloud infrastructure within a fully Azure-native environment.

THE COMPANY:

This is a consultancy-led technology business delivering innovative cloud and AI-driven solutions across multiple industries. The organisation partners closely with clients to deliver complex transformation programmes with real, measurable outcomes. The business operates at the intersection of consulting and technology, combining deep domain expertise with modern cloud engineering to drive innovation, efficiency, and growth across its client base.

THE ROLE:

You will take ownership of Azure cloud architecture and engineering across the business, acting as the technical authority within a small but highly impactful cloud function.
Key responsibilities include:

• Designing, building, and maintaining Azure cloud infrastructure
• Acting as a subject matter expert, providing architectural guidance and solution design
• Supporting internal consultants with cloud solutioning and infrastructure recommendations
• Building and managing cloud resources (VMs, SQL Servers, Web Apps, Docker environments)
• Developing and maintaining CI/CD pipelines using Azure DevOps and GitHub
• Driving a code-first approach with Infrastructure-as-Code and automation
• Leading on cloud integrations, including Azure Integration Services
• Supporting governance, security, compliance, backup, and recovery processes
• Contributing to AI-driven and innovation-focused internal projects
• Mentoring junior engineers and setting technical standards across the team

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands-on Microsoft Azure engineering and architecture
• Designing scalable, secure cloud solutions end-to-end
• Infrastructure-as-Code (ideally Bicep or Terraform)
• Building and managing CI/CD pipelines (Azure DevOps / GitHub Actions)
• Cloud automation using PowerShell and Azure CLI
• Strong stakeholder engagement and communication skills
• Security, governance, and compliance within cloud environments

THE BENEFITS:

You will receive a salary up to £80,000 depending on experience, along with a comprehensive benefits package

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

To Apply for this Job Click Here