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DATA ENGINEERING MANAGER
£120,000
LONDON

This is a unique opportunity to sit at the centre of a value creation function, shaping data platforms and AI capability across multiple businesses. You’ll combine hands-on engineering with strategic influence, working closely with senior leaders to drive real commercial impact.

THE COMPANY

Our client is a highly successful investment firm focused on the lower mid-market. They are known for strong fund performance and a long-term, hands-on approach to supporting their portfolio companies. Data, technology and AI are core to how they drive value, and this role has been created as part of continued investment in that capability.
You’ll be joining a growing value creation team that works directly with leadership teams across the portfolio, helping businesses modernise their data foundations and make better decisions.

THE ROLE

• Design, build and scale modern data platforms across portfolio companies
• Establish robust data engineering foundations to enable analytics and AI use cases
• Act as a technical and commercial advisor to senior stakeholders
• Support AI enablement, ensuring platforms are fit for future innovation
• Balance architecture, strategy and hands-on delivery across varied environments

This role offers rare exposure to multiple businesses at different stages of data maturity, with the opportunity to shape both strategy and execution.

YOUR SKILLS AND EXPERIENCE

• Strong background in data engineering with hands-on delivery experience
• Advanced SQL and Python skills
• Experience building end-to-end data platforms and scalable architectures
• Ability to communicate technical concepts clearly to non-technical stakeholders
• Commercially minded with experience prioritising work based on business impact
• Consulting, transformation or PE-backed experience is advantageous

SALARY AND BENEFITS

• £100,000 – £120,000 base salary
• Large discretionary bonus
• Pension scheme
• Hybrid working model
• Modern London office

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

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Senior Full Stack Software Engineer (AI and Analytics Platform)
New York – 4 Days Per Week in Office
Up to $225,000 + 20% Bonus

This is an opportunity to join a small, high-impact innovation team building a production-grade analytics product from scratch. You will work directly with senior stakeholders, shaping both the technical direction and the product itself, with real ownership from day one.

The Company
They are a large, asset-backed organisation investing heavily in innovation and technology to transform how data is used across investment and asset management functions. Within this, they have built a startup-style team focused on developing predictive analytics tools that directly influence buying, selling, and operational decisions. The team is intentionally lean, fast-moving, and highly product-driven.

The Role
You will operate as a full stack engineer within a small, cross-functional team, working closely with product and leadership to build and scale a new analytics platform.

• Build and deploy full stack applications that surface predictive analytics and ML insights
• Work directly with stakeholders to translate business requirements into production-ready features
• Develop backend services using Python and Node.js, alongside modern frontend frameworks such as React
• Contribute to AI and ML-driven functionality, including LLM-powered workflows
• Make architectural decisions and shape the platform as it scales
• Deliver high-quality, production-ready code in a fast-moving environment
• Collaborate closely with product and design in a highly iterative, feedback-driven process

Your Skills & Experience

• Strong commercial experience as a full stack engineer in product-focused environments
• Proficiency in Python for backend development; Node.js is beneficial
• Experience with React or similar modern frontend frameworks such as Angular or Vue
• Exposure to cloud platforms such as Azure, AWS, or GCP
• Experience building and deploying production-grade applications end to end
• Understanding of ML or AI concepts and how they integrate into applications
• Strong product mindset and ability to work closely with non-technical stakeholders
• Comfortable operating in small, ambiguous, high-ownership environments

What They Offer

• Opportunity to join a startup-style team within a well-funded organisation
• High level of ownership and influence over product and technical direction
• Exposure to AI, ML, and predictive analytics use cases in a commercial setting
• Collaborative, fast-paced environment with direct access to senior stakeholders
• Clear scope for progression as the team grows

How to Apply
If you are excited by the challenge of building an AI first data foundation within a scaled fintech, apply now by emailing resumes if interested or pass on if you know someone who’d be a great fit.

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Front Office Software Engineer
New York City – 4 Days In Office

Up to $200,000 + 50% Bonus

The Company
They are a global investment manager specialising in derivatives and multi-asset strategies, operating across major financial hubs with a strong engineering and research-led culture. Their structure is highly collaborative, with technology embedded directly into investment teams.

The Role
This role sits within the front office technology team, with opportunities across both pricing and core risk systems.

• Design, build, and enhance a global pricing platform focused on performance, scalability, and reliability
• Develop real-time systems that deliver pricing, risk, and analytics to front office users
• Work directly with traders, portfolio managers, and quants to understand requirements and deliver solutions
• Contribute to systems that process market data and generate real-time valuations
• Play a key role in shaping architecture and improving system performance in a low-latency environment

Your Skills and Experience

• Strong commercial experience building production systems in Java
• Exposure to Python or C++ in a backend or quantitative environment
• Understanding of financial markets, trading, or risk systems
• Experience working with market data, pricing engines, or execution systems is beneficial
• Interest in working in a front office, fast-moving environment with direct business impact

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Data Scientist

London – 2x a week

The Company
They are a rapidly scaling European insurer with a strong track record of growth and significant external investment. Their operating model is highly data driven, with advanced analytics underpinning pricing and underwriting decisions. The business fosters a high performance culture and invests heavily in developing talent, particularly individuals with strong academic foundations and high potential. Their UK presence is a key strategic focus, with continued expansion of their analytics function.

The Role
You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance. Responsibilities include:

• Developing and improving pricing models to optimise competitiveness in the market
• Identifying and integrating new data sources into modelling approaches
• Building predictive models to simulate customer behaviour and risk outcomes
• Enhancing tariff structures and pricing strategies using advanced analytics
• Collaborating with cross functional teams to drive customer acquisition and growth
• Applying logical reasoning and structured thinking to complex business problems

Your Skills and Experience

• Strong academic background in Mathematics, Physics or a related quantitative discipline
• Proven ability to apply data science or statistical modelling techniques in a commercial or academic setting
• Proficiency in Python or strong capability to learn quickly
• Excellent problem solving skills, with an ability to think logically and communicate reasoning clearly
• Motivated, intellectually curious, and comfortable working in a fast paced environment
• For experienced candidates, commercial exposure to modelling in any industry is welcomed

What They Offer

• Hybrid working with a London base
• Clear progression opportunities in a scaling analytics team
• Exposure to impactful, end to end data science projects
• A high performance environment with strong investment in training and development

How to Apply
Please apply with your CV to be considered for this opportunity.

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AI Engineering Lead

UK Remote

The Company

They are a global testing, inspection, and compliance group operating across a diverse set of regulated industries. The organisation has scaled significantly through acquisition and continues to invest in long term, sustainable growth. With a portfolio of specialist businesses, they provide critical compliance and inspection services across multiple sectors. The business is at an early stage in its AI journey, with strong backing and clear intent to invest in this space.

The Role

You will lead the definition and execution of a group wide AI strategy, with full ownership over delivery and direction. Your responsibilities will include:

* Defining and implementing the organisation’s AI strategy across multiple business units

* Identifying and prioritising high impact use cases that deliver measurable value

* Designing and building AI systems, from concept through to production deployment

* Developing LLM based applications, including document processing and workflow automation

* Establishing standards for AI governance, tooling, and best practice

* Working closely with senior stakeholders to align on transformation initiatives

* Driving adoption and ensuring consistent approaches across a decentralised group structure

Your Skills and Experience

You will bring strong commercial experience in AI and software engineering, with the ability to operate both strategically and hands on. Key requirements include:

* Proven ability to deliver AI or machine learning solutions into production environments

* Strong programming capability in Python and modern AI frameworks

* Experience working with LLMs and tools such as LangChain or similar ecosystems

* Expertise in building applications including chatbots, document processing, or agent based systems

* Solid understanding of MLOps, scalable architecture, and deployment best practices

* Comfortable working in ambiguous, greenfield environments with high autonomy

* Strong stakeholder engagement skills, with experience influencing senior leaders

What They Offer

They offer a highly competitive salary with flexibility for the right candidate, alongside a performance related bonus and private medical cover. You will benefit from a remote first working model, with access to senior leadership and the opportunity to shape AI strategy at an enterprise level. This is a high impact role with clear scope for progression as AI capability matures across the group.

How to Apply

If you are interested in leading AI innovation in a greenfield environment, apply with your CV to learn more.

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AI Engineering Lead
Fully Remote, UK with occasional travel to London and Birmingham | £100,000 to £130,000 base plus bonus and benefits

This is a standout opportunity if you want to be the person who defines how AI is built and scaled across an entire organisation. You will step into a genuinely greenfield role with executive visibility, real autonomy and the mandate to turn AI from experimentation into measurable commercial value.

The Company
They are a high-growth group operating in the Testing, Inspection and Compliance space, with a global footprint across the UK, Europe, the US and APAC. Growth has been driven by an ambitious acquisition strategy, while retaining the identity and expertise of each portfolio business. AI is firmly on the leadership agenda, with multiple live proof-of-concept initiatives and clear appetite to invest further. The culture is pragmatic, low ego and refreshingly non-corporate.

The Role

• Act as the first AI Engineering Lead at group level, reporting into the COO with regular exposure to the CEO and executive team.
• Own AI strategy, architecture and delivery across a diverse portfolio of businesses and use cases.
• Take AI solutions from proof of concept through to production, focusing on commercial impact and scalability.
• Evaluate platforms, tools and vendors while setting best practice for AI engineering and deployment.
• Work closely with technical and non-technical stakeholders to identify high-value opportunities and drive adoption across the group.
• Shape the foundations of an AI function that can scale alongside ongoing acquisitions.

Your Skills & Experience

• Strong commercial experience delivering AI and machine learning solutions into production environments.
• Hands-on capability with AI engineering, including LLMs, Python-based development, system architecture and deployment.
• Confidence designing end-to-end solutions rather than isolated experiments.
• Proven ability to influence senior stakeholders and translate business problems into practical AI outcomes.
• A self-starter mindset, comfortable operating with autonomy in a fast-moving environment.

What They Offer

• Base salary of £100,000 to £130,000, with flexibility.
• Annual bonus of up to 20 percent.
• Private medical cover.
• Fully remote working with occasional UK travel.
• High-impact role with long-term progression and the chance to build something meaningful from the ground up.

How to Apply
If you are looking for a senior AI Engineering role with real influence, ownership and visibility, apply now to find out more.

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Product Analyst
Up to £85,000 + Bonus
Hybrid – London (2x days per week)

This is an exciting opportunity to join a fast‑growing digital organisation where data sits at the heart of every decision. You will play a pivotal role in shaping how product teams understand user behaviour, influence product strategy, and unlock opportunities that drive measurable impact.

The Company
They are a consumer-focused digital business committed to creating meaningful experiences for their members. With a mission-driven culture and a period of rapid expansion, they are investing heavily in data, analytics, and experimentation. Collaboration, innovation, and continuous learning are central to how they operate. They offer a flexible hybrid environment with a strong focus on development and wellbeing.

The Role
* Use quantitative analysis and data storytelling to uncover user behaviours and inform product strategy.
* Generate hypotheses, support experiments, and identify new opportunities.
* Define and maintain key product metrics, ensuring clarity and alignment across teams.
* Build dashboards and self-serve tools that empower stakeholders.
* Conduct deep-dive analyses to influence strategic decisions.
* Contribute to shared knowledge and promote best practices across data teams.

Your Skills and Experience
* Strong commercial experience in analytical roles within digital products.
* Proficient in SQL and analytical tools such as Python or R.
* Skilled in dashboarding with tools like Looker, Tableau, or similar.
* Confident translating complex data into actionable insight for varied audiences.
* Curious, collaborative, and proactive in solving problems.

What They Offer
Competitive salary, hybrid working, comprehensive benefits, generous leave, wellbeing support, and a culture that champions growth.

How to Apply
To register your interest, send your CV or apply below.

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Senior Analyst

Fully remote

£80,000 – £90,000

**Please note this role is in the gambling sector**

This is an opportunity to take a senior analytical role at the heart of a fast scaling digital business where data directly shapes commercial decisions. You will play a key part in understanding customer behaviour, improving retention, and influencing product and growth strategy through insight. The role offers strong visibility, autonomy, and the chance to genuinely raise the impact of analytics across the organisation.

The Company

They are a modern, digitally driven organisation operating in a highly competitive consumer environment. Data sits at the centre of how they make decisions, with analytics embedded across product, growth, and commercial teams. As the business continues to scale, they are investing in senior analytical capability to deepen customer understanding and unlock new opportunities. Collaboration, pragmatism, and outcome focused thinking are central to their culture.

The Role

You will sit within the analytics function, partnering closely with stakeholders across the business to turn complex questions into clear, actionable insight. Your work will directly influence commercial performance, customer strategy, and product development.

• Analyse customer behaviour, retention, churn, and lifecycle performance
• Support growth and CRM initiatives through insight and data driven recommendations
• Partner with Product, Commercial, and Trading teams on key business questions
• Translate ambiguous problems into structured analytical frameworks
• Build dashboards, reports, and decision support analysis
• Identify trends, risks, and commercial opportunities using data
• Support experimentation and performance measurement
• Communicate findings clearly to both technical and non technical audiences
• Contribute to improving analytical maturity and best practice across the business

Your Skills and Experience

• Strong commercial experience in a Senior Data Analyst or similar role
• Advanced SQL and strong analytical problem solving capability
• Proven experience working in high-transaction, customer-centric industries such as gambling, gaming, or retail.
• Experience analysing customer behaviour, retention, and lifecycle metrics
• Proven ability to structure analysis independently and deliver clear insight
• Strong stakeholder management and communication skills
• Comfortable working in fast paced, ambiguous environments
• A pragmatic, outcome focused approach with natural curiosity

What They Offer

• Salary up to £90,000
• Fully remote working within the UK with a supported home office setup
• Private health insurance, including optical and optional dental cover
• Income protection and enhanced holiday allowance over time
• Salary sacrifice schemes for technology, holidays, and childcare support
• Retail discounts, subscription perks, and regular team socials
• Clear scope for progression as analytics continues to grow in influence

How to Apply

If you are a commercially minded Senior Data Analyst looking to make a tangible impact, apply now to learn more about this opportunity. We cannot offer sponsorship for this postiion

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Data Scientist

£45,000 – £48,000

Hybrid – Merseyside (3 days per week in the office)

This is a strong opportunity for a commercially minded Data Scientist to join a business at a

genuine inflection point in its Data and AI journey. You will play a key role in moving the organisation from ad-hoc analytics to a scalable, production-led Data Science capability, with clear backing from leadership and real-world use cases already live.

The Company

They are a large retail organisation undergoing a significant data and AI transformation. With a new customer loyalty programme launching this year, demand for advanced modelling, forecasting and personalisation is growing quickly. The culture is collaborative, inclusive and pragmatic, with a strong focus on delivering value at pace rather than over-engineering solutions. Getting models into production and driving measurable impact is a core priority.

The Role

You will work hands-on within a small but growing Data Science function, partnering closely with the Data Science Lead, another Data Scientist, and wider data and commercial teams.

Key responsibilities include:

• Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting
• Developing, testing and deploying machine learning models end to end, from problem definition through to production
• Contributing to the development of a new Data Science platform and helping shape best practice as the function matures
• Working closely with Data Engineers and Analysts to ensure data quality, scalability and smooth model deployment
• Engaging with commercial and customer stakeholders to translate business problems into practical modelling solutions
• Communicating insights, model outputs and business impact clearly to non-technical audiences

Your Skills and Experience

To succeed in this role, you will bring a practical, business-led approach to Data Science.

Key requirements include:

• Strong commercial experience using Python for Data Science and machine learning
• Solid SQL skills and confidence working with large, complex datasets
• End-to-end Data Science experience, including taking models into production
• Experience applying statistical modelling or machine learning to real business problems
• Confidence working with stakeholders and explaining technical concepts in a clear, credible way

Nice to have:

• Exposure to cloud platforms such as GCP or Azure
• Experience with model deployment tools such as Vertex AI or Azure ML
• Any background in customer analytics, forecasting or personalisation

What They Offer

• Salary of £45,000 to £48,000
• Hybrid working, with three days per week on site in Knowsley
• The chance to help build a Data Science capability from an early stage
• High visibility work tied directly to customer and commercial outcomes
• Clear opportunity to grow alongside the team as Data Science scales across the business

How to Apply

If you are a hands-on Data Scientist looking to work on production-focused, customer-led use cases in a collaborative environment, apply now to find out more.

To Apply for this Job Click Here

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Senior Full Stack Software Engineer (AI and Analytics Platform)
New York – 4 Days Per Week in Office
Up to $225,000 + 20% Bonus

This is an opportunity to join a small, high-impact innovation team building a production-grade analytics product from scratch. You will work directly with senior stakeholders, shaping both the technical direction and the product itself, with real ownership from day one.

The Company
They are a large, asset-backed organisation investing heavily in innovation and technology to transform how data is used across investment and asset management functions. Within this, they have built a startup-style team focused on developing predictive analytics tools that directly influence buying, selling, and operational decisions. The team is intentionally lean, fast-moving, and highly product-driven.

The Role
You will operate as a full stack engineer within a small, cross-functional team, working closely with product and leadership to build and scale a new analytics platform.

• Build and deploy full stack applications that surface predictive analytics and ML insights
• Work directly with stakeholders to translate business requirements into production-ready features
• Develop backend services using Python and Node.js, alongside modern frontend frameworks such as React
• Contribute to AI and ML-driven functionality, including LLM-powered workflows
• Make architectural decisions and shape the platform as it scales
• Deliver high-quality, production-ready code in a fast-moving environment
• Collaborate closely with product and design in a highly iterative, feedback-driven process

Your Skills & Experience

• Strong commercial experience as a full stack engineer in product-focused environments
• Proficiency in Python for backend development; Node.js is beneficial
• Experience with React or similar modern frontend frameworks such as Angular or Vue
• Exposure to cloud platforms such as Azure, AWS, or GCP
• Experience building and deploying production-grade applications end to end
• Understanding of ML or AI concepts and how they integrate into applications
• Strong product mindset and ability to work closely with non-technical stakeholders
• Comfortable operating in small, ambiguous, high-ownership environments

What They Offer

• Opportunity to join a startup-style team within a well-funded organisation
• High level of ownership and influence over product and technical direction
• Exposure to AI, ML, and predictive analytics use cases in a commercial setting
• Collaborative, fast-paced environment with direct access to senior stakeholders
• Clear scope for progression as the team grows

To Apply for this Job Click Here

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HEAD OF ENGINEERING
Remote (UK)
up to £130,000

HEAD OF ENGINEERING
This is a great opportunity to join a high‑growth organisation where you can take ownership of the Engineering function and play a critical role in scaling a sophisticated AI‑driven platform used by leading pharmaceutical companies.

THE COMPANY:

This business is operating at the intersection of AI, data science and pharmaceutical R&D with a mission is to make discoveries faster, smarter and more efficient.

THE ROLE:

You will take ownership of the Engineering function, providing leadership across technical delivery, people management and engineering operations. Key responsibilities include:

• Leading and scaling the Engineering team as the business grows
• Establishing strong engineering processes, standards and ways of working
• Providing architectural oversight and technical direction across the platform
• Ensuring high‑quality, on‑time delivery of complex, enterprise‑grade projects
• Developing, mentoring and supporting senior engineers and technical leaders

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands‑on engineering leadership within fast‑paced startup environments
• Backend, data engineering or full‑stack systems at scale
• Technical strategy, architecture and long‑term platform design
• Managing and empowering highly capable senior engineers
• Cross‑functional delivery, stakeholder management and prioritisation

THE BENEFITS:

You will receive a salary up to £130,000 depending on experience, along with a comprehensive benefits package. This is a fully remote role within a growing Series A business, offering significant scope for impact, ownership and progression.

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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