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DATA ENGINEER

LOCATION: London (Remote)

SALARY: £110,000 + Equity

Shape the future of AI safety by building data pipelines that handle massive scale, your work will power innovation across research and production

THE OPPORTUNITY

The company is a fast-growing AI safety organisation focused on building the reliability and optimisation layer for AI systems. Its core platform uses natural-language policies to define what AI models should and shouldn’t do, automatically testing and enforcing these rules at scale. Backed by $11M in funding from leading investors and senior figures at major AI and tech firms, the company processes over 100 million API calls monthly.

It also fine-tunes and trains its own large language models to deliver faster and more cost-effective performance than open or proprietary alternatives. The team is small, highly focused, and committed to solving hard problems with real-world impact. Employees enjoy a collaborative environment where work ships quickly to production and directly influences the future of AI safety.

ROLE AND RESPONSIBILITY

This role focuses on designing and building scalable data pipelines and environments to handle petabytes of logs, events, and model outputs. You’ll develop internal APIs and tools that enable engineering and research teams to access data seamlessly without infrastructure complexity. Responsibilities include optimising performance for analytics workloads and enforcing governance, permissions, and security policies.

Strong proficiency in SQL and Python is essential, along with experience in modern data stacks such as Snowflake, ClickHouse, and event streaming technologies. Familiarity with dashboarding tools like Metabase or Tableau is a plus. This is an opportunity to make a significant impact in a fast-paced, AI-driven environment with competitive salary, equity, and relocation support.

INTERVIEW PROCESS

1. CV Review and Introductory Conversation
2. Technical Interview – Deep Technical Conversation
3. Product Interview – Evaluating Communication and Collaboration with ML

Apply today and be part of shaping the future of AI safety!

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Data Engineer

Salary: Up to £55,000

Experience: 2-3 years

Location: Liverpool

Overview

I’m working with a growing, data-driven organisation looking for a Data Engineer to join their engineering team. This is an excellent opportunity for someone with a strong computer science background who enjoys building reliable data pipelines and working with modern cloud-based data platforms.

You’ll work closely with analytics and engineering teams to develop scalable, well-structured data solutions using modern tooling and best practices.

Key Responsibilities

• Design, build, and maintain data pipelines and transformations
• Work with cloud-based data platforms to support analytics and reporting needs
• Develop and optimise SQL-based data models
• Contribute to orchestration and scheduling using workflow tools
• Build and deploy containerised and serverless data solutions
• Apply software engineering fundamentals to data engineering challenges

Technology Stack

• Snowflake
• dbt
• Airflow
• SQL (strong focus)
• Cloud platforms (AWS, Azure, or GCP)
• Containers and Function Apps
• SQLMesh (or similar data transformation frameworks)

Requirements

• 2-3 years’ experience as a Data Engineer or similar role
• Strong SQL skills
• Experience working in a cloud environment
• Solid understanding of data engineering principles
• Computer Science or related technical degree
• Familiarity with data modelling and transformation tools (dbt preferred)
• Exposure to containers and serverless/function-based architectures
• Good communication skills and a collaborative mindset

Nice to Have

• Experience with Snowflake in production
• Exposure to Airflow orchestration

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Credit Strategy & Analytics Director

Up to £150,000

Hybrid

London

About the Company:

I am hiring a Credit Strategy Director for a leading lending fintech based in London. Within this role, you will be leading a team and setting up the strategies for existing customer management, to support the increase of profitability for their credit cards portfolio using tools like Python and SQL daily.

About the Role:

As a Credit Strategy Director, you will be:

• Driving insight for credit risk strategy using Python and SQL
• Detecting new trends on customer data to help increase business revenue
• Analysing both internal and external data to make strategic changes impacting growth and revenue
• Building out and leading a Credit Strategy function focusing on the ECM strategy
• Developing credit risk strategies across existing customers, like credit limit increase and decrease strategies
• Using SQL and Python daily for strategy development for the credit cards portfolio

Responsibilities:

To be successful as a Credit Strategy Director, you will need:

• Experience developing credit strategies for ECM.
• Experience working with unsecured credit portfolios
• Ideally experience working on Credit Cards
• Experience managing and leading a team for credit strategy
• Experience working with SQL and/or Python
• STEM Degree from a top university

Benefits

Up to £150,000 + Benefits

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Senior Credit Strategy Manager

Up to £110,000

Hybrid

London

About the Company:

I am hiring a Credit Strategy Manager for a leading lending fintech based in London. Within this role, you will be developing strategies for existing customer management, to support the increase of profitability for the portfolio using tools like Python and SQL daily.

About the Role:

As a Senior Credit Strategy Manager, you will be:

• Driving insight for credit risk strategy using Python and SQL
• Detecting new trends on customer data to help increase business revenue
• Analysing both internal and external data to make strategic changes impacting growth and revenue
• Developing credit risk strategies across existing customers, like credit limit increase and decrease strategies
• Using SQL and Python daily for strategy development for the credit cards portfolio

Responsibilities:

To be successful as a Senior Credit Strategy Manager, you will need:

• Experience developing credit strategies for ECM.
• Experience working with unsecured credit portfolios
• Ideally experience working on Credit Cards
• Experience developing credit risk strategies for existing customers
• Experience working with SQL and/or Python
• STEM Degree from a top university

Benefits

Up to £110,000 + Benefits

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DATA ENGINEER

£45,000-50,000 + BENEFITS

LIVERPOOL (Hybrid)

This is great company for an ambitious Data Engineer looking to be able to take real ownership and manage and optimise the data infrastructure.

THE COMPANY:

Working with this Martech company, you will be able to work on finding customers at the early stage of the cycle, and turn them into leads.

THE ROLE:

A Data Engineer will need to:

• Work closely with stakeholders across the business
• Design and implement ETL pipelines
• Managing data infrastructure

YOUR SKILLS AND EXPERIENCE:

A successful Data Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholders
• Strong experience in SQL/Python
• Experience with a Cloud
• Data modelling/warehousing experience

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £50,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

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

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LEAD MODEL VALIDATION ANALYST

COMPETITIVE SALARY + BENEFITS

LONDON

A Lead Model Validation Analyst position to join a well-established UK financial technology and lending platform that provides fast, data-driven financing solutions. The company, headquartered in London, has grown into a leading provider in their sector, leveraging technology and analytics to streamline access to credit. This position will play a key role in independently reviewing and validating a range of financial models to ensure robustness, accuracy, and regulatory compliance within a high-performing risk and analytics team.

THE ROLE

You can expect to be involved in the following day to day:

• Independently review and validate key models including mostly scorecards and some IFRS9 models, assessing conceptual soundness, data quality, and technical implementation.
• Partner closely with model development and business teams to identify model risks and drive timely remediation actions.
• Provide oversight of ongoing model performance monitoring, including back-testing, stability analysis, and recalibration activities.
• Produce clear, well-structured validation documentation and reports, communicating findings, limitations, and recommendations to senior stakeholders.
• Ensure validation activity and model documentation align with internal governance standards and relevant regulatory expectations.
• Contribute to the ongoing development and enhancement of the model risk management and validation framework in line with industry best practice.
• Proactively identify control weaknesses or emerging risks and take ownership of driving practical, effective solutions.

SKILLS AND EXPERIENCE

• Experience using Python
• Experience in validation (scorecards preferred but generally open)
• Experience working within a FCA regulated company
• A strong university degree in a numerate discipline

HOW TO APPLY

Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

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Senior Data Scientist

London – (3 days a week in office)

Up to £100,000

About the Role

Our client is an data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They bring together expertise across data, technology and delivery to build and deploy advanced analytics solutions that have real-world impact.

As a Data Scientist, you’ll work closely with cross-functional teams to design, build and productionise data science and analytics products within client environments. Your work will be directly tied to value creation, helping organisations make smarter, data-driven decisions.

Key Responsibilities

• Understanding business challenges and translating them into value-linked data science solutions.
• Working closely with data engineers to define data requirements and pipelines.
• Performing exploratory data analysis and recreating key business KPIs.
• Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards.
• Developing, deploying and maintaining machine learning models.
• Evaluating project impact through experimentation and A/B testing.

Your work will focus on delivering high-value insights and solutions, including:

• Building optimisation models to improve efficiency and throughput.
• Developing predictive models to reduce risk and prevent downtime.
• Designing churn prediction strategies to improve customer retention.
• Identifying next-best actions to support sales and commercial teams.
• Applying geospatial modelling to optimise footprint and location strategy.

What We’re Looking For

• At least 2+ years’ experience applying data science to deliver commercial impact.
• A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
• Strong Python skills (Pandas, NumPy, Scikit-learn or similar).
• A collaborative mindset with excellent communication skills.
• Experience working in cross-functional teams delivering production-ready solutions.

If this role looks of interest, apply below.

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Data Scientist

Up to £110,000

London (Hybrid, 4 days onsite per week)

About the role:

Join a leading corporate venture capital firm, within the secondaries space who invest and partner with start-ups across multiple industries, helping them scale and achieve global impact.

Key Responsibilities:

• Collaborate with the deal team to pinpoint where data science can add value to the investment process.
• Create data tools and dashboards to support investment decisions and portfolio monitoring.
• Analyse large datasets to derive actionable insights for investment strategies, effectively communicating these to senior stakeholders.
• Work with the VP of Data and the investment team to improve data solutions.
• Proactively investigate new data science methodologies and technologies to benefit team objectives.

What We’re Looking For:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment

**Please note that this role does not offer visa sponsorship**

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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 Machine Learning Engineer, you’ll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. This role is highly hands-on, with a strong focus on deployment, performance and reliability.

Key Responsibilities

• Translating data science models into scalable, production-ready machine learning solutions.
• Designing and building end-to-end ML pipelines, from data ingestion to deployment and monitoring.
• Collaborating with data engineers on data architecture, pipelines and feature stores.
• Working closely with data scientists to productionise models and improve performance.
• Deploying, monitoring and maintaining machine learning models in live environments.
• Implementing testing, validation and monitoring frameworks to ensure model reliability and impact.

Your work will focus on delivering high-value ML solutions, including:

• Productionising optimisation and predictive models at scale.
• Building systems to anticipate and prevent operational downtime.
• Deploying churn and customer behaviour models into live decision-making systems.
• Enabling next-best-action and recommendation engines for commercial teams.
• Supporting geospatial and advanced analytical models with robust ML infrastructure.

What We’re Looking For

• 2+ years’ experience building and deploying production machine learning systems.
• A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
• Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch).
• Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts).
• A collaborative mindset with strong communication skills and experience working in cross-functional teams.

If this role looks of interest, apply below.

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Senior AI Scientist

London – (Hybrid, 3 days a week in office)

Up to £80,000 + benefits

About the Role

Our client is a data-led organisation that has made significant investment in modern data and AI capabilities. With a mature data platform and strong executive buy-in, they are now focused on embedding advanced AI into both customer-facing products and internal decision-making tools.

As a Senior AI Scientist, you’ll play a key role in designing, building and deploying applied AI systems, with a particular focus on large language models (LLMs), retrieval-augmented generation (RAG), and conversational AI. This is a hands-on role operating across the full AI lifecycle, from experimentation and prototyping through to production deployment.

You’ll work closely with product, engineering and business teams to ensure AI solutions are practical, scalable and deliver clear commercial and customer impact.

Key Responsibilities

• Leading the development of AI proof-of-concepts and production systems, including LLM-powered assistants and chatbots.
• Designing and implementing RAG pipelines using vector search, embeddings and knowledge retrieval strategies.
• Fine-tuning, evaluating and deploying language models, with a focus on response quality, reliability and performance.
• Building agentic workflows and conversational flows for both customer-facing and internal use cases.
• Defining evaluation frameworks and quality metrics for AI-generated outputs.
• Collaborating with product and engineering teams to integrate AI solutions into live systems.
• Contributing to AI architecture decisions and mentoring more junior engineers and data scientists.

Your work will focus on delivering high-impact AI solutions, including:

• Customer and internal chatbots powered by LLMs.
• Intelligent knowledge retrieval and question-answering systems.
• Voice and chat-based automation to reduce cost-to-serve.
• AI tools that improve customer experience, retention and operational efficiency.

What We’re Looking For

• Strong experience building applied AI or machine learning systems in production environments.
• Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries).
• Practical experience with LLMs, RAG architectures, embeddings and transformers.
• Experience deploying models using cloud infrastructure and working with microservices or APIs.
• Familiarity with MLOps concepts such as monitoring, evaluation and continuous improvement.
• Strong communication skills and the ability to translate business problems into AI-driven solutions.
• A collaborative mindset and experience working with both technical and non-technical stakeholders.

If this role looks of interest, apply below.

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