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SENIOR DATA PLATFORM ENGINEER

£75,000-£80,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Data Platform Engineer to help with enabling real time data processing.

THE ROLE:

A remote working Senior Data Platform Engineer will need to:

• Scale real-time data processing for analytics and automation
• Enhance experimentation frameworks
• Optimise the Martech data ecosystem

YOUR SKILLS AND EXPERIENCE:

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

• Ability and experience interacting with key stakeholder
• Java experience for microservicing
• Streaming experience e.g. Kafka, Kinesis, Flink
• Cloud experience – AWS, Azure, GCP

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000-80,000 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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AI Engineer / ML Engineer – CRYPTO – REMOTE

We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML.

They are seeking a skilled and driven Senior AI/ML Engineer to join their team. In this position, you will design and manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. As a Senior AI/ML Engineer, your work will be essential in enhancing the platform’s functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will be instrumental in influencing the technology’s evolution and solidifying the company’s status as a leader in blockchain analytics.

You will need:

• Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability.
• Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience.
• Stay up-to-date with the latest advancements in AI/ML and blockchain technologies, applying creative solutions to tackle complex challenges.
• Mentor junior engineers and foster best practices in AI/ML development within the team.
• Collaborate with cross-functional teams to ensure AI/ML projects align with business goals and customer requirements.

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CREDIT RISK CONSULTANT

£70,000 – £80,000

LEEDS

Join a leading credit data and analytics provider as a Credit Risk Consultant, working on high-impact, client-facing analytical projects across a variety of industries. This is a key strategic hire for a team that partners directly with financial services, telecoms, and other sectors to optimise data-led decision making.

THE COMPANY

Join a global data and analytics company that enables businesses to make smarter lending decisions using powerful data insights. Their analytics team partners directly with clients to develop models, scorecards, and data strategies that improve commercial outcomes.

THE ROLE

As a Consultant, your day-to-day responsibilities include but are not limited to

• Engage proactively with clients to understand business models, challenges, and data needs.
• Work in consultancy projects such as credit strategy, scorecard development, and model building.
• Supervise and mentor a small team of analysts.
• Apply statistical and machine learning techniques such as regression, decision trees, CHAID, clustering.
• Use SQL and Python to prepare data and build robust solutions.
• Understand and navigate regulatory environments affecting clients.

SKILLS & EXPERIENCE

• 6+ years’ experience in credit risk, modelling, or analytical consultancy.
• Strong Python and SQL skills in a credit analytics environment.
• Proven experience using credit bureau data (Equifax, Experian, TransUnion).
• Excellent communication and stakeholder management skills.

THE BENEFITS

• £70k – £80k salary
• Private Healthcare
• Life Insurance
• Enhanced maternity & sick leave
• Income Protection

HOW TO APPLY

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

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LEAD DATA ENGINEER

£75,000-£80,000 + BENEFITS

PRIMARILY REMOTE

A leading travel company is seeking a proactive Azure Lead Data Engineer to join their innovative team.

THE COMPANY:

This is a well-established brand driven by an ambitious vision. They are currently investing in their data team, and are looking for a Lead Data Engineer to help gather requirements and build solutions.

THE ROLE:

A Lead Data Engineer will need to:

• Work closely with stakeholders across the business
• Own data engineering roadmap
• Own data engineering lifecyle from ingestion to transformation
• Manage data warehouse (gathering requirements and building solutions)
• Ensure alignment with data management and quality

YOUR SKILLS AND EXPERIENCE:

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

• Ability and experience interacting with key stakeholders
• Strong experience in SQL/Python
• Experience with Azure/ADF
• Background in CI/CD
• Management/Leadership experience

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £80,000 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.

To Apply for this Job Click Here

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FRAUD ANALYTICS MANAGER

£65,000

LEEDS + OTHER LOCATIONS ACROSS UK

THE COMPANY

This growing UK Bank are seeking an experienced candidate to lead hands-on analytical Fraud strategy and policy as well as lead a small team. This role offers an excellent opportunity to drive insight in a hands-on analytical role, whilst owning projects and profitability for the business.

THE ROLE

• Leading the development of fraud rules and strategies to reduce incidences of Fraud and further protect customers and the bank
• Manage and oversee fraud detection systems to ensure issues and risks are being actioned
• Analyse a range of customer data to drive insight into suspicious activity, customer trends and wider portfolio activity
• Leading a small team to enhance the performance of the business as well as drive improvements in fraud policy

YOUR SKILLS AND EXPERIENCE:

• Prior experience within fraud strategy is essential
• Prior experience working with Fraud Detection systems is essential
• Essential to have had experience using SQL – Python is desirable
• Prior management experience is essential
• Desirable to have experience working with Credit Cards

SALARY AND BENEFITS

• Up to £65,000 starting salary
• Discretionary bonus
• Pension contribution scheme
• 26 days holiday
• Private medical scheme

HOW TO APPLY

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

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FRAUD ANALYTICS MANAGER

COMPETITIVE SALARY UP TO £65,000

LEEDS, HYBRID WORKING (3 DAYS PER WEEK IN OFFICE)

In this role, you’ll be given the opportunity to direct a talented team of analysts and get hands-on with the analytics to develop and optimise the bank’s fraud strategy.

THE COMPANY

This organisation is a global bank, well known for its innovative financial solutions, supporting millions of customers around the world. You’ll be working in a high-performing team and be able to work with a number of teams in the business.

THE ROLE

• Produce in-depth analysis of fraud patterns to develop and optimise the bank’s fraud prevention strategy
• Manage the monitoring of fraud systems to ensure a robust and efficient detection process
• Lead a team of analysts, ensuring targets/deadlines are met and required changes can be developed and implemented
• Work with operational teams to ensure fraud alerts and procedures are efficient and effective

YOUR SKILLS AND EXPERIENCE

• Strong experience in the fraud analytics space
• Proficiency in SQL or Python is required
• Management experience is required
• Experience working with fraud detection systems

THE BENEFITS

• Competitive salary up to £65,000
• Strong bonus
• Hybrid working policy (3 days per week in the office)
• Strong pension scheme
• Private medical care

HOW TO APPLY

Please register your interest via the apply link on this page, or send your CV directly

To Apply for this Job Click Here

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Senior Machine Learning Engineer – Remote

We are looking for a highly skilled Machine Learning Engineer with strong ML Ops expertise to help design, build, deploy, and manage machine learning pipelines in production environments. The ideal candidate will have a strong foundation in machine learning algorithms, deep learning, data engineering, and experience in automating the deployment, monitoring, and scaling of models through ML Ops practices.

Responsibilities:

• Model Development: Design and develop machine learning models to solve complex problems using a variety of algorithms, including supervised, unsupervised, and reinforcement learning techniques.
• ML Ops Implementation: Develop and deploy ML workflows, integrating version control, automation, and monitoring practices to streamline model development and deployment.
• Pipeline Development: Build and maintain end-to-end machine learning pipelines for continuous integration, continuous deployment (CI/CD), and model retraining.
• Automation: Automate model training, testing, and deployment processes, ensuring high levels of efficiency and reliability in production.
• Model Optimisation: Collaborate with data scientists and engineers to optimise models for production environments, focusing on scalability, speed, and resource efficiency.
• Cloud Integration: Utilise cloud platforms (e.g., AWS, Azure, GCP) for model deployment and infrastructure management, ensuring smooth scaling and resource optimisation.
• Documentation: Maintain clear and comprehensive documentation for model workflows, ML Ops processes, and system architectures.

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Digital Marketing Manager
Up to £55,000
Hybrid – Leeds(3x days a week)

THE COMPANY
I’m excited to announce a fantastic opportunity for a Digital Marketing Manager to join a law firm who are focused mon aking a positive difference.

THE ROLE
In this role, you will lead a team of two marketing professionals and play a key role in shaping the firm’s digital marketing strategy to drive growth across multiple channels.

YOUR SKILLS AND EXPERIENCE
Hands-on experience with Paid Media and PPC (LinkedIn, Meta, PPC etc).
Google Analytics 4
Previous management experience.
Data visualisation (desirable)

APPLY
Register your interest by sending an email or applying below

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Digital Marketing Manager
Leeds (Hybrid – 3x Days a Week in Office)
£50,000-£60,000

THE COMPANY

A human rights law firm is seeking a Digital Marketing Manager to join their team and optimise paid & organic channel performance!

THE ROLE

As the Digital Marketing Manager, you will manage a team across all things digital marketing. You will have a stronger background in Paid (Search & Social) and have experience managing a team and setting the digital marketing strategy / roadmap

YOUR SKILLS AND EXPERIENCE

• Strong Paid Search/Social experience
• Line Management

THE BENEFITS

• £50,000-£60,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

To Apply for this Job Click Here

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Growth Analyst

£55,000 – £60,000 + Equity

Fully Remote (UK-based only)

Join a profitable, design-led SaaS business as they scale their product and double down on sustainable growth. With 1,500+ global customers including household names, they’re expanding their analytics function to deepen understanding of user behaviour and product performance.

The Company

This SaaS firm supports design and development teams by removing friction in design system documentation. Now shifting into a broader design ops space, they’re focused on building a product that scales with the needs of large, distributed teams. Having turned down Series B funding to focus on profitability, they offer a stable and product-first culture.

The Team

You’ll join a small analytics team reporting into the Head of Data, collaborating closely with PMs, Engineers, Growth Marketers, and Designers. Most of the team are London-based but work fully remotely across the UK.

The Role

As a Growth Analyst, you’ll own projects that directly inform product strategy, customer onboarding, and marketing performance.

Responsibilities include:

– Leading funnel analysis to identify drop-offs and highlight activation points

– Running A/B tests and experiments across product and marketing journeys

– Collaborating with cross-functional teams to drive growth strategies

– Building dashboards and tools with Amplitude, Heap, or Mixpanel

– Measuring conversions from initial sign-up through to enterprise adoption

– Analysing paid, organic, and brand marketing channel performance

Example Questions You’ll Help Answer:

– What channels convert best from signup to active user?

– What early behaviours predict strong retention?

– Where are users dropping off during onboarding?

– How do public references influence signup conversions?

Your Skills & Experience

Essential:

– Strong SQL skills

– Hands-on experience with Amplitude, Heap, or Mixpanel

– A/B testing or experimentation experience

– Digital product or growth analytics experience

– Comfortable translating insight into action

Nice to have:

– Python for deeper analytics

– SaaS/B2B product experience

– Exposure to DBT or tools like Hex, Looker, Tableau (not Power BI)

Benefits

– £55,000 – £60,000 salary

– Meaningful equity in a profitable SaaS business

– Fully remote (UK-based only)

– Work closely with product and commercial leads

Please note: No post-study work visas or sponsorship provided. UK-based applicants only.

Interview Process

– 30-min intro with Head of Data

– Take-home task (90 mins, 7 days to complete)

– Technical interview with the Data team

– Final values interview with CRO/CEO and SLT

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