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ML Engineer

Location: Chester (Hybrid – 2x week in office)

Salary: £70,000 – £80,000

About the Role

I’m working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists, analysts, engineers, and design managers in a fast-paced, high-impact environment.

What You’ll Be Doing

• Operationalising machine learning models and ensuring they are production-ready
• Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models
• Contributing to churn and revenue prediction use cases
• Working on conversational AI, including an in-house AI agent designed to support customers throughout their stay
• Collaborating closely with engineers, designers, and product stakeholders
• Helping establish best practices for CI/CD, model deployment, and ML operations across the organisation
• Supporting a move towards a product-aligned, hub-based operating model

Technology Stack

• Cloud-first environment with Microsoft Azure Fabric
• Python, PyTorch
• SQL
• Apache Spark
• Azure Data Factory (ADF)
• Git

What We’re Looking For

• 3-4 years’ experience in AI/ML engineering, data engineering, or applied data science
• Strong Python skills with experience deploying ML models to production
• Solid software engineering fundamentals (clean code, version control, testing mindset)
• Experience working with customer or marketing data
• Exposure to ML Ops practices (full CI/CD expertise not required)
• Experience handling customer or personal data is a plus (e.g. chatbot or conversational AI projects)
• Strong communication skills and ability to work cross-functionally
• Master’s degree in Computer Science, Data Science, or a related field preferred

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HEAD OF CRM ARCHITECTURE

HYBRID – LONDON – 2 DAYS A WEEK IN THE OFFICE

SALARY – £90,000-£130,000

THE COMPANY

A leading B2B blockchain analytics organisation is scaling, particularly across sales and marketing. To support the next stage of scale, the business is building out a dedicated GTM Engineering function – this hire is a critical part of that build!

THE ROLE

As a HubSpot Architect, you can expect to be involved in the following:

• This is an individual contributor role that acts as the technical bridge between the operational and commercial teams.
• You’ll be the organisation’s CRM authority, owning technical and process readiness across their GTM stack, with HubSpot sitting at its core.
• You’ll take ownership of key initiatives including improving lead flows, supporting new sales process launches, and driving better integration between HubSpot and the rest of their tooling.
• Collaboration with RevOps, engineering, and commercial stakeholders will be central as you help build a scalable, efficient GTM engine capable of supporting a rapidly expanding sales organisation.
• Growth in this role comes not from people management but from increased technical scope, scale, and architectural influence.

YOUR SKILLS AND EXPERIENCE

• Hands-on expertise in HubSpot, including complex configuration, automation, and optimisation
• A background that blends marketing exposure with technical GTM/CRM ownership is great
• Experience using low-code automation tools and knowing when to partner with engineering for more advanced work
• Strong understanding of the B2B SaaS customer lifecycle and how technical architecture influences the wider funnel
• Experience in environments where you’ve built or rebuilt GTM tooling and processes multiple times
• Comfortable getting the absolute maximum value from a tech stack, including AI-assisted workflows and interaction with internal applications
• Interest in crypto or blockchain is a strong plus
• Able to work in a fast-scaling business

BENEFITS

• Salary up to £130,000
• Opportunity to build a GTM engine from the ground up in a high-growth, technically progressive organisation
• Hybrid working

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Analytics Manager

Up to £70,000 + bonus

Hybrid – Leeds (2x days per week)

An industry-leading online healthcare provider is seeking a Customer Insight Lead to shape and deliver its customer insight strategy. Reporting to the Head of Customer Insight, you will manage a team of four analysts and drive data-led decision making across the organisation.

Key Responsibilities:

• Own and deliver the customer insight strategy end-to-end
• Lead LTV modelling and apply outcomes across the business
• Drive RFM analysis and embed usage across teams
• Develop and implement customer segmentation for acquisition and retention
• Support strategic and financial planning through improved LTV and CPA
• Utilise research data, social listening, and wider insight methodologies
• Run A/B testing and optimise campaign performance
• Collaborate with Data Science to apply predictive models

Required Skills & Experience:

• Strong, hands-on SQL capability
• Experience using or applying predictive models
• Experience leading or managing a team is required
• Confident communicator with strong stakeholder influence
• Ability to present insights clearly and drive action

Please note we cannot offer sponsorship.

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Lead Customer Insight Analyst

Up to £70,000 + bonus

Hybrid – Leeds (2x days per week)

An industry-leading online healthcare provider is seeking a Customer Insight Lead to shape and deliver its customer insight strategy. Reporting to the Head of Customer Insight, you will manage a team of four analysts and drive data-led decision making across the organisation.

Key Responsibilities:

• Own and deliver the customer insight strategy end-to-end
• Lead LTV modelling and apply outcomes across the business
• Drive RFM analysis and embed usage across teams
• Develop and implement customer segmentation for acquisition and retention
• Support strategic and financial planning through improved LTV and CPA
• Utilise research data, social listening, and wider insight methodologies
• Run A/B testing and optimise campaign performance
• Collaborate with Data Science to apply predictive models

Required Skills & Experience:

• Strong, hands-on SQL capability
• Experience using or applying predictive models
• Experience leading or managing a team is required
• Confident communicator with strong stakeholder influence
• Ability to present insights clearly and drive action

Please note we cannot offer sponsorship.

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Reporting Analyst

Salary up to £50,000 + 10% Bonus

London – 3 days in the office

The Company

A rapidly scaling green technology business backed by private equity with significant investment going into data and analytics.

Data is at the core of their current growth strategy and the business is expanding the in house data function to support better decision making and commercial performance.

The Role

This position sits within a central data team during a period of transformation. The business has invested in Snowflake, AWS and Power BI and is now focused on building more effective reporting and insight capabilities.

You will own the development of reports and dashboards for BAU and KPI needs across the company. There is strong demand from stakeholders in commercial, finance and sales teams and you will be responsible for helping them understand performance, trends and opportunities. As the function matures there is also scope for the role to evolve further into more strategic insight work.

Your Skills and Experience

• Strong experience with SQL and Power BI
• Able to build dashboards and reports in a commercial environment
• Someone who has experienced smaller or scaling teams and enjoys working in a collaborative set up
• Great communication skills and the ability to partner with stakeholders

Why Apply

This is an opportunity to join a business that is investing heavily in data at an early stage of the journey. You will be influential in shaping the reporting capability and will have room to develop into more insight focused work as the team grows.

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BI Analyst

London based | 1 day in the office

Salary up to £60,000

Company

An established, consumer facing tech business is growing its Insights team and is hiring a BI Analyst to partner closely with Customer Experience, Product, and Operations teams.

The role

You will sit within an Insights function that works hand in hand with the Customer Experience team. Your focus will be on making data accessible, delivering deep dive analysis, and helping the business understand the key drivers behind customer contact and satisfaction.

Day to day, you will

• Build and maintain dashboards tracking customer experience metrics
• Lead the migration of dashboarding into scalable formats
• Create ETLs from raw data sources to make data easy to consume
• Support Customer Experience teams with analytical requests
• Identify opportunities to improve customer experience through data led insight
• Measure the impact of strategic and tactical changes
• Perform root cause analysis when performance dips
• Work cross functionally with teams such as Trust & Safety, Seller Success, and Product

What they are looking for

• Strong SQL skills and experience working with large datasets
• Experience using tools such as Looker or Tableau
• Experience building ETLs from raw data sources
• Comfortable working across multiple stakeholders and problem spaces
• Commercially minded with a proactive approach
• Organised, curious, and detail focused

Nice to have

• Experience in a marketplace or consumer facing mobile product
• Exposure to Zendesk data

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Analytics Engineer
London based | Hybrid 1-2 days per week

Salary up to £75,000

We are working with a large scale, consumer facing business operating across multiple European markets. Data sits at the heart of how they grow audiences, optimise commercial revenue, and improve digital experiences, and they are continuing to invest heavily in their modern analytics platform.

The role

As an Analytics Engineer, you will be responsible for transforming raw and curated warehouse data into well modelled, analytics ready data marts. You will work across consumer, digital, and revenue domains, enabling trusted reporting in tools such as Looker, Power BI, and Tableau.

This is a hands on role with real influence over modelling standards, semantic definitions, and how data is consumed across the business.

Key responsibilities

Data modelling and transformation

• Design and build Kimball style dimensional models and gold layer marts using dbt

• Develop and maintain dbt pipelines that are performant, tested, and easy to use

• Partner with Data Engineers to shape upstream data structures and improve handoffs from ingestion to modelling

• Implement data quality testing using dbt tests and expectations frameworks

Semantic layer and analytics enablement

• Help define and maintain a consistent semantic layer across multiple BI tools

• Translate technical schemas into clear business concepts such as customers, campaigns, sessions, and revenue

• Own documentation including data dictionaries, ERDs, and semantic definitions to support self service analytics

Modernisation and migration

• Contribute to the migration of legacy warehouses into Snowflake based models

• Refactor legacy logic into dbt driven transformations

• Work on medium term projects typically spanning 6 to 9 months to align legacy stacks with modern standards

What they are looking for

Technical experience

• Strong SQL experience with Redshift or BigQuery and exposure to Snowflake or another modern warehouse

• Proven experience building production dbt models, tests, and environments

• Solid understanding of dimensional modelling and Kimball principles

• Experience working with semantic or metric layers

• Python experience for analytics or data engineering tasks

• Comfortable working with BI tools such as Looker and Power BI

• Experience working in agile teams using Git based workflows

Why apply

• Work on a modern data stack with real influence over modelling and analytics standards

• Partner closely with product and commercial teams on high impact use cases

• Hybrid working with flexibility

• Strong investment in learning, development, and long term careers

• Supportive, collaborative data culture with a clear mission around data quality and impact

If you are an Analytics Engineer who enjoys building well modelled data, cares about how analytics is consumed, and wants to work in a business where data genuinely matters, this is well worth a conversation.

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Senior Machine Learning Engineer

Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000

THE COMPANY
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.

THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.

RESPONSIBILITIES

• You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
• You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
• You will develop feature engineering workflows using PySpark and embedding techniques.
• You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
• You will implement monitoring and observability solutions to track model performance and system health.
• Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.

REQUIREMENTS

• MSc or PhD in Computer Science, Machine Learning, or related field.
• Strong ML engineering with strong proficiency in PyTorch.
• Hands-on experience with Databricks.
• Expert-level Python and PySpark skills for large-scale data processing.
• Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
• Strong understanding of CI/CD workflows and best practices.

BENEFITS

• Competitive salary and bonus structure.
• Comprehensive health coverage.
• Generous PTO and company holidays.
• Flexible remote working options.

HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.

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Senior Data Scientist – End-to-End Machine Learning & Behavioural Data

This organisation are seeking an experienced Senior Data Scientist to join their dynamic team. This role focuses on end-to-end productionising of machine learning models and leveraging behavioural data to drive actionable insights and innovative solutions.

The ideal candidate has a strong background in applied machine learning, including hands-on experience with Natural Language Processing (NLP), and is comfortable taking projects from concept through to production. They thrive in a collaborative environment, translating complex data into meaningful business outcomes and working closely with cross-functional teams to implement scalable solutions.

Key Responsibilities:

• Develop, deploy, and maintain end-to-end machine learning models, ensuring robust production performance.
• Analyse and derive insights from behavioural data to inform business decisions.
• Apply NLP techniques to extract value from text-based datasets.
• Collaborate with engineering and product teams to integrate models into live systems.
• Continuously monitor, evaluate, and optimise models to maintain accuracy, efficiency, and scalability.

Qualifications & Experience:

• Proven experience in end-to-end machine learning development and model deployment.
• Strong background in behavioural data analysis.
• Hands-on experience with NLP, including text preprocessing, embeddings, and relevant model architectures.
• Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with cloud-based ML infrastructure and MLOps best practices.
• Excellent problem-solving skills and the ability to communicate complex findings to non-technical stakeholders.

To Apply for this Job Click Here

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Senior Full Stack / Front-End Engineer (TypeScript, AI Agents)

Location: Remote / Hybrid

Type: Full-time

Level: Senior

The Role

The company is seeking a Senior Full Stack / Front-End Engineer to help build intelligent, AI-powered products. The engineer will focus on delivering high-quality user interfaces while working across the stack to integrate AI agents and LLM-driven systems. This role suits someone who values frontend craftsmanship, system thinking, and product ownership.

Responsibilities

• Design, build, and maintain scalable front-end applications using TypeScript
• Develop full-stack features that integrate AI agents, LLM APIs, and external services
• Collaborate closely with product, design, and AI teams to translate complex AI behaviour into intuitive user experiences
• Implement robust application architecture, state management, and data flows
• Ensure performance, accessibility, and maintainability across the codebase
• Participate in technical decision-making and contribute to engineering best practices
• Mentor and support other engineers as the team grows

Requirements

• 5+ years of experience as a Full Stack or Front-End Engineer
• Strong proficiency in TypeScript and modern JavaScript
• Extensive experience with frameworks such as React, Next.js, or similar
• Backend experience using Node.js, Python, or equivalent
• Experience integrating REST and/or GraphQL APIs
• Strong understanding of frontend architecture, performance, and UX principles
• Ability to work effectively in fast-paced, ambiguous environments

Desirable Experience

• Hands-on experience with AI agents, LLMs, or prompt-based systems
• Familiarity with streaming responses, tool calling, or multi-step agent workflows
• Experience working with real-time or event-driven systems
• Exposure to design systems, accessibility standards, or data-heavy interfaces
• Previous experience in startup or high-ownership teams

What the Company Offers

• The opportunity to work on products at the forefront of AI and user experience
• High-impact role with ownership over core features and technical direction
• Collaborative, low-ego engineering culture
• Competitive salary and equity package
• Flexible working arrangements

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SENIOR CREDIT RISK MANAGER

£110,000

LONDON

THE COMPANY

This is an exciting opportunity with a leading UK FinTech that focus on harnessing data to enhance their lending decisions. This business have been growing in recent years and are now in an excellent position. This role offers the chance to work closely with the data science team to drive impact across their lending strategies and broader business profitability.

THE ROLE

• Analysing trends in lending portfolios to drive insight and enhance business performance
• Monitor and adjust lending strategies across the customer lifecycle to enhance profitability and decisioning
• Collaborating with the data science team to drive model performance and implementation of innovative machine learning models
• Leading the incorporation of new data sources to enhance and improve decisioning

YOUR SKILLS AND EXPERIENCE

• Previous experience in and knowledge of SQL and Python is essential
• Experience in developing lending strategies in a consumer lending environment
• Experience monitoring a lending portfolio and customer trends
• STEM degree from a Russell Group University

SALARY AND BENEFITS

• Base salary of up to £110,000
• Hybrid work model
• Company equity
• Broader company benefits including international trips

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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ML ENGINEER

UP TO £80,000 + BENEFITS

HYBRID – CHESTER

If you’re an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You’ll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one.

THE COMPANY:

I’m working with a fast-growing business that’s investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products.

With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing.

THE ROLE:

This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business.

Key responsibilities include:

• Operationalising ML models, including deployment, monitoring, retraining, and drift detection
• Acting as the bridge between Data Science and Engineering to productionise models
• Supporting a broad range of AI and ML initiatives, including:
• Revenue management and pricing optimisation
• Customer-facing AI products using LLMs and AI agents
• Churn prediction and revenue forecasting
• Defining and implementing ML best practices, CI/CD pipelines, and coding standards
• Improving reliability, scalability, and observability of production ML systems

YOUR SKILLS AND EXPERIENCE:

A successful ML / AI Engineer will bring:

• Hands-on experience deploying and maintaining ML models in production
• Experience with CI/CD in a production environment
• Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
• Ability to communicate effectively with Data Scientists and Product teams
• Experience with customer, marketing, or personalisation data is beneficial

THE BENEFITS:

You will receive a salary of 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.

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