Senior Data Engineer | Computer Vision
London / £600 - £782 day
INFO
RATE:
£600 - £782
LOCATION
London
Contract
Senior Data Engineer
£782/day (Inside IR35) | 12-Month Contract | London (2 Days Onsite)
Overview
Clinical Platforms team is seeking a Senior Data Engineer to help build and maintain the data and cloud infrastructure that powers large-scale medical imaging and AI/ML initiatives across the business.
This is a highly technical engineering role sitting at the intersection of Data Engineering, Cloud Engineering, Machine Learning Infrastructure and Computer Vision. You'll be responsible for designing, building and supporting production-grade data platforms that enable researchers and scientists to work with complex imaging datasets and AI-driven workflows.
The team is looking for a hands-on engineer with strong Python, SQL and Google Cloud Platform (GCP) experience who can take ownership of technical solutions from design through to production.
What You'll Be Doing
- Designing and building scalable data pipelines and cloud-based data platforms
- Developing and maintaining data infrastructure supporting medical imaging and AI/ML workloads
- Building ETL/ELT pipelines and data integration frameworks
- Managing large-scale datasets across cloud environments
- Supporting infrastructure used to deploy and run machine learning and computer vision solutions
- Designing data models and database schemas for complex datasets
- Monitoring, troubleshooting and optimising production systems
- Collaborating with engineers, researchers and data scientists across multiple projects
Key Skills & Experience
Essential
- Strong commercial experience with Python development
- Advanced SQL and data modelling expertise
- Strong Google Cloud Platform (GCP) experience
- Experience designing and delivering production-grade data platforms
- Strong understanding of systems architecture and cloud infrastructure
- Experience building end-to-end data engineering solutions
- Proven track record delivering engineering projects into production
Highly Desirable
- Computer Vision or Image Processing experience
- Exposure to Machine Learning platforms and infrastructure
- Experience working with image datasets at scale
- PyTorch, OpenCV, NumPy or related technologies
- BigQuery and wider GCP ecosystem experience
- Familiarity with AI-assisted development tools such as Cursor, Claude Code or GitHub Copilot
Nice to Have
- Medical imaging experience
- DICOM or PACS exposure
- Healthcare, biotech or pharmaceutical industry experience
Ideal Background
We're open to candidates from a variety of backgrounds, including:
- Senior Data Engineers
- Data Platform Engineers
- Machine Learning Engineers
- ML Platform Engineers
- Computer Vision Engineers
- AI Engineers
- Software Engineers with strong cloud and data engineering experience
The key requirement is strong, hands-on commercial engineering experience and the ability to design, build and support complex production systems.
Why Join?
- Work on cutting-edge AI and medical imaging initiatives
- Join a highly technical engineering team within GSK's Clinical Platforms function
- Contribute to platforms supporting drug discovery and clinical research
- Opportunity to work across Data Engineering, ML Infrastructure and Computer Vision projects
- Long-term 12-month contract with strong extension potential
Contract Details
- Role: Senior Data Engineer
- Contract Length: 12 Months
- Rate: Up to £782/day
- IR35 Status: Inside IR35
- Location: London
- Working Pattern: 2 Days Onsite Per Week
If your background sits across Data Engineering, Cloud Platforms and Machine Learning infrastructure, I'd be happy to share further details.
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Senior Data Engineer | Computer Vision
London
£600 - £782
+ Computer Vision
ContractLondon
To Apply for this Job Click Here
Senior Data Engineer
£782/day (Inside IR35) | 12-Month Contract | London (2 Days Onsite)
Overview
Clinical Platforms team is seeking a Senior Data Engineer to help build and maintain the data and cloud infrastructure that powers large-scale medical imaging and AI/ML initiatives across the business.
This is a highly technical engineering role sitting at the intersection of Data Engineering, Cloud Engineering, Machine Learning Infrastructure and Computer Vision. You’ll be responsible for designing, building and supporting production-grade data platforms that enable researchers and scientists to work with complex imaging datasets and AI-driven workflows.
The team is looking for a hands-on engineer with strong Python, SQL and Google Cloud Platform (GCP) experience who can take ownership of technical solutions from design through to production.
What You’ll Be Doing
- Designing and building scalable data pipelines and cloud-based data platforms
- Developing and maintaining data infrastructure supporting medical imaging and AI/ML workloads
- Building ETL/ELT pipelines and data integration frameworks
- Managing large-scale datasets across cloud environments
- Supporting infrastructure used to deploy and run machine learning and computer vision solutions
- Designing data models and database schemas for complex datasets
- Monitoring, troubleshooting and optimising production systems
- Collaborating with engineers, researchers and data scientists across multiple projects
Key Skills & Experience
Essential
- Strong commercial experience with Python development
- Advanced SQL and data modelling expertise
- Strong Google Cloud Platform (GCP) experience
- Experience designing and delivering production-grade data platforms
- Strong understanding of systems architecture and cloud infrastructure
- Experience building end-to-end data engineering solutions
- Proven track record delivering engineering projects into production
Highly Desirable
- Computer Vision or Image Processing experience
- Exposure to Machine Learning platforms and infrastructure
- Experience working with image datasets at scale
- PyTorch, OpenCV, NumPy or related technologies
- BigQuery and wider GCP ecosystem experience
- Familiarity with AI-assisted development tools such as Cursor, Claude Code or GitHub Copilot
Nice to Have
- Medical imaging experience
- DICOM or PACS exposure
- Healthcare, biotech or pharmaceutical industry experience
Ideal Background
We’re open to candidates from a variety of backgrounds, including:
- Senior Data Engineers
- Data Platform Engineers
- Machine Learning Engineers
- ML Platform Engineers
- Computer Vision Engineers
- AI Engineers
- Software Engineers with strong cloud and data engineering experience
The key requirement is strong, hands-on commercial engineering experience and the ability to design, build and support complex production systems.
Why Join?
- Work on cutting-edge AI and medical imaging initiatives
- Join a highly technical engineering team within GSK’s Clinical Platforms function
- Contribute to platforms supporting drug discovery and clinical research
- Opportunity to work across Data Engineering, ML Infrastructure and Computer Vision projects
- Long-term 12-month contract with strong extension potential
Contract Details
- Role: Senior Data Engineer
- Contract Length: 12 Months
- Rate: Up to £782/day
- IR35 Status: Inside IR35
- Location: London
- Working Pattern: 2 Days Onsite Per Week
If your background sits across Data Engineering, Cloud Platforms and Machine Learning infrastructure, I’d be happy to share further details.
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Business Analyst
London
£450 - £520
+ Advanced Analytics & Marketing Insights
ContractLondon
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BUSINESS ANALYST – MICROSOFT DYNAMICS 365 BUSINESS CENTRAL CLOUD MIGRATION
LONDON / SURREY
MAINLY REMOTE (OCASSIONAL TRAVEL)
OUTSIDE IR35
£420 TO £520 PER DAY
This is an opportunity to play a key role in a large-scale cloud transformation programme, helping a major organisation migrate from a highly customised on-premise Microsoft Dynamics 365 Business Central environment to the cloud. You’ll join during the discovery phase and have the chance to influence future-state design, challenge legacy processes, and shape the overall approach to delivery.
The Company
They are a well-established UK organisation undertaking a significant ERP modernisation programme to improve scalability, standardisation, and long-term operational efficiency. With a complex business landscape and a heavily integrated technology estate, they are investing in a cloud-first future. The programme brings together business stakeholders, technical teams, and delivery partners to transform core finance processes and systems.
The Role and Deliverables
- Lead discovery workshops across Finance and wider business functions to capture requirements and shape future-state processes.
- Document current and future-state business processes, requirements, decision logs, and discovery outputs.
- Conduct fit-gap analysis against standard Dynamics 365 Business Central cloud capabilities and identify opportunities for simplification.
- Support data migration planning, including financial data validation, reconciliation, and acceptance criteria.
- Assess integrations, legacy applications, and customisations to inform cloud migration and future-state architecture.
- Act as a key liaison between Finance stakeholders, project teams, solution architects, and implementation partners.
Your Skills & Experience
- Strong Business Analysis experience within complex ERP transformation programmes.
- Demonstrable experience with Microsoft Dynamics 365 Business Central.
- Experience delivering Business Central on-premise to cloud migration projects.
- Strong understanding of finance processes, controls, and ERP environments.
- Proven ability to facilitate workshops and engage stakeholders at senior leadership level.
- Expertise in requirements elicitation, process mapping, fit-gap analysis, and discovery activities.
- Experience supporting financial data migration, validation, and reconciliation activities.
- Ability to assess complex integration landscapes and support migration to API-driven cloud solutions.
- Strong documentation skills across requirements, process models, and business analysis artefacts.
- Confident challenging existing ways of working and driving process improvement initiatives.
- Comfortable operating independently within complex, evolving programmes.
- Experience within hospitality, finance transformation, or highly customised Business Central environments would be advantageous.
To Apply for this Job Click Here
Senior ML Engineer
£550 - £600
+ Data Science & AI
ContractEngland
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Senior ML Engineer (LLM & GenAI)
UK Remote | Outside IR35
Day Rate: £550-£600 per day
6-Months
This is an opportunity to join an innovative healthcare technology business on a greenfield GenAI and LLM Engineering programme. You’ll play a key role in building production-grade AI systems that support clinical and research workflows, working on LLM observability, RAG pipelines, evaluation frameworks, and scalable ML platforms within a highly data-driven environment.
The Company
They are a fast-growing healthcare technology organisation using advanced machine learning, proprietary data, and AI-driven products to improve preventative healthcare and research outcomes. Their multidisciplinary teams work across machine learning, software engineering, clinical science, and product development to deliver innovative solutions at scale. Operating in a regulated environment, they are investing heavily in the next generation of GenAI capabilities and production ML infrastructure.
The Role and Deliverables
- Build and productionise LLM, GenAI, and RAG-based applications using proprietary healthcare and research datasets.
- Develop observability and monitoring frameworks covering prompts, inference quality, latency, cost, and model performance.
- Create robust evaluation frameworks combining automated scoring, LLM-as-a-judge approaches, and human feedback loops.
- Deliver production-ready RAG and agentic AI workflows with version control, testing, deployment, and rollback capabilities.
- Partner with MLOps, Data Science, and Research teams to ensure AI systems are scalable, reliable, and compliant.
- Contribute to AI platform strategy, including model serving architecture, infrastructure decisions, and GPU utilisation.
Your Skills & Experience
- Strong experience building and deploying production machine learning systems within healthcare, life sciences, biotech, pharma, or bioresearch environments.
- Hands-on experience developing LLM, GenAI, RAG, or agent-based applications.
- Strong Python engineering skills with experience using PyTorch and modern ML tooling.
- Experience with LangChain, LangGraph, LlamaIndex, DSPy, or similar LLM orchestration frameworks.
- Strong MLOps experience including MLflow, model versioning, experiment tracking, monitoring, and production deployment.
- Experience working with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or Databricks Vector Search.
- Cloud experience across AWS, Azure, or GCP, alongside containerisation and orchestration technologies including Docker and Kubernetes.
- Familiarity with Infrastructure as Code tools such as Terraform.
- Experience operating machine learning solutions within regulated or research-led environments.
How to Apply
If you have a proven track record delivering production LLM and GenAI solutions within healthcare, biotech, or research environments, please apply with your latest CV.
To Apply for this Job Click Here
Senior Data Engineer
London
£70000 - £100000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
SENIOR DATA ENGINEER
£100,000
LONDON
This is a unique opportunity to join a prestigious investment management business at the start of a major technology transformation. You’ll play a key role in building a brand-new cloud data platform from the ground up, working closely with investment professionals and taking ownership of critical data initiatives across the business.
THE COMPANY
Our client is a highly respected investment management firm with a long-standing heritage and a global, multi-asset investment strategy. Operating more like a sophisticated investment office than a traditional bank, they manage significant assets across public and private markets while maintaining a lean, collaborative culture.
This is a growth hire as part of a wider modernisation programme, offering the chance to help shape the future data landscape of the business and influence technology decisions from day one.
THE ROLE
- Build and develop a new cloud-based data platform, helping to establish the foundations of the firm’s future data architecture
- Migrate, redesign and modernise existing ETL pipelines, reporting processes and data workflows from legacy systems
- Work closely with investment, private equity, risk and performance teams to translate business requirements into scalable solutions
- Contribute across the full data lifecycle, including engineering, cloud infrastructure, automation, reporting and platform optimisation
- Play a highly visible role in a small technology team where your work will have direct business impact
YOUR SKILLS AND EXPERIENCE
- Strong experience in Data Engineering, ideally with exposure across infrastructure, pipelines, reporting and cloud technologies
- Financial Services experience is highly desirable, particularly within asset management, investment management or multi-asset environments
- Understanding of investment products such as private equity, derivatives, bonds and public markets
- Strong Python and SQL skills, alongside broader data engineering expertise
- Experience with Databricks, Snowflake or Microsoft Fabric would be advantageous
- CFA qualification or progress towards CFA Level 1+ would be highly beneficial
- Able to operate independently, engage stakeholders and take ownership of key initiatives
SALARY AND BENEFITS
- Up to £100,000 base salary
- Excellent pension contribution of up to 15%
- Private medical insurance for you and your family
- Life assurance, critical illness cover and income protection
- Up to £600 annual gym contribution
- 26 days holiday plus additional Christmas leave
- 15 work-from-anywhere days per year
- Sponsorship of professional qualifications
- Hybrid working model (4 days in office)
HOW TO APPLY
Please register your interest by sending your CV through to Harry Lack via the ‘Apply’ link.
To Apply for this Job Click Here
Data Engineer
City of London
£75000 - £95000
+ Data Engineering
PermanentCity of London, London
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Data Engineer
£75,000 – £95,000 + Benefits
London (Hybrid)
This is a great opportunity to join a high-growth, technology-driven organisation undergoing a major cloud and data transformation. You’ll play a key role in building a brand-new GCP analytics platform from the ground up, helping shape the future of data across the business.
THE COMPANY:
This organisation operates within a specialist, highly regulated industry and has built a strong reputation through its innovative use of technology, data and analytics. Backed by significant investment and continued growth, the business is making major investments in its modern data platform and cloud capabilities.
With a collaborative culture, strong employee retention and a focus on continuous improvement, this is an environment where engineers can take ownership, solve meaningful problems and directly influence business outcomes.
THE ROLE:
You will take ownership of building and developing a new GCP Data Analytics Platform while helping modernise the organisation’s wider data estate.
Key responsibilities include:
- Building end-to-end data solutions, from ingestion through to business-facing outputs.
- Developing scalable ingestion pipelines using APIs, CDC, SFTP and streaming technologies.
- Designing and optimising dbt transformation layers and warehouse workflows.
- Creating dimensional models, fact tables and star schema designs to support analytics at scale.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Hands-on GCP experience in a commercial environment.
- Strong expertise with dbt
- Advanced dimensional modelling skills
- Strong Python and SQL experience
- Experience with Terraform, Kafka, Dataflow or Pub/Sub.
THE BENEFITS:
You will receive a salary of £75,000 – £95,000 depending on experience.
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
Senior Digital Analyst – Implementation
London
£50000 - £60000
+ Digital Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Digital Analyst – Implementation
£50,000-£60,000 + 10% Bonus
London (Hybrid – 3x Days a Week in Office)
Sponsorship – Available
Are you a technically minded Digital Analytics specialist with strong Adobe implementation experience? This is an opportunity to take ownership of a major analytics transformation, modernising tracking infrastructure across multiple digital products for a global live entertainment and ticketing business. With significant investment in its analytics capabilities, the business is looking for someone who can get hands-on with complex implementations, improve data quality and help shape the future of its global digital analytics function!
The Company
A leading global ticketing and live entertainment platform, working with major venues, promoters and sporting organisations across the UK, Europe and North America. Operating at significant scale, the business combines ticketing technology with rich first-party customer data, digital marketing and fan engagement. As it continues to invest in its global analytics capabilities, there is a real opportunity to influence how data is collected, governed and used across its digital platforms.
The Role
As the Senior Digital Analyst, you will play a key role in transforming the organisation’s digital analytics infrastructure. You’ll take ownership of hands-on technical implementation, helping rebuild the data layer across eight digital products while supporting the migration from legacy Adobe Analytics implementations to the modern Adobe Experience Platform Web SDK. This is a technically focused position where you’ll need to be comfortable leading large-scale implementations, troubleshooting complex tracking issues and working through legacy environments to deliver reliable, scalable solutions.
Key responsibilities include:
- Lead large-scale digital analytics and tagging implementations across multiple digital products.
- Own data layer design, implementation, testing and quality assurance.
- Implement and maintain Adobe Analytics tracking, Adobe Launch configurations and tracking pixels.
- Support the migration from legacy tracking infrastructure to Adobe Experience Platform Web SDK (Alloy.js).
- Troubleshoot implementation issues and improve the accuracy and reliability of digital data.
- Work closely with Product, Marketing Technology and Analytics teams to deliver robust tracking solutions.
- Establish technical documentation, implementation standards and best practices.
- Support marketing attribution, reporting and the wider analytics transformation programme.
- Contribute to the future roadmap, including potential server-side tracking and broader data integration.
- Provide technical support to junior team members and help strengthen implementation capability as the global function grows.
Your Skills & Experience
- Strong hands-on experience implementing Adobe Analytics in a complex digital environment.
- Proven experience with Adobe Launch
- Strong JavaScript skills, particularly in relation to tracking implementation and debugging.
- Experience designing and implementing data layers, tags and tracking pixels.
- Experience leading or delivering large-scale digital analytics implementations.
- Exposure to Adobe Experience Platform Web SDK (Alloy.js), ideally including migration from legacy implementations.
- The ability to take ownership of technical delivery and work confidently with Product, Marketing Technology and commercial stakeholders.
- A detail-oriented approach, with the ability to navigate complex or outdated tracking environments.
The business is particularly interested in technically strong implementation specialists, although candidates with broader digital analytics experience will also be considered where they have demonstrable hands-on technical expertise.
The Benefits
- £60,000-£70,000
- Bonus – 10%
How to Apply
Please register your interest by sending your CV via the Apply link on this page. Visa sponsorship available for eligible candidates.
To Apply for this Job Click Here
Data Scientist – Insurance
London, Bristol, Cambridge
£65000 - £70000
+ Data Science & AI
PermanentEngland
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Data Scientist
London (Hybrid) | £70,000 + Benefits
This is an opportunity to join a leading insurance business that is continuing to invest in Data Science and analytics. You’ll work on a diverse range of projects, helping the business make better decisions through predictive modelling, statistical analysis, and machine learning while gaining exposure to emerging AI technologies.
The Company
They are a well-established insurance organisation with a strong focus on data-driven decision-making. Their Data Science function works closely with stakeholders across the business to improve operational performance, customer outcomes, and commercial results. You’ll join a collaborative environment where analytical insights have a direct impact on strategy and business performance.
The Role
- Develop predictive models and machine learning solutions to solve business challenges.
- Analyse complex datasets to identify trends, risks, and opportunities.
- Partner with stakeholders to translate business problems into analytical solutions.
- Communicate insights and recommendations to both technical and non-technical audiences.
- Explore and evaluate new technologies, including Large Language Models, where they can deliver measurable value.
Your Skills & Experience
- Strong commercial experience working as a Data Scientist.
- Advanced Python skills and experience with machine learning libraries such as Scikit-learn, TensorFlow, Keras, or PySpark.
- Strong background in statistical modelling, data analysis, and predictive analytics.
- Ability to translate complex data into clear business recommendations.
- Exposure to LLMs, prompt engineering, or Generative AI would be advantageous.
- Experience within insurance, financial services, or another regulated environment is beneficial.
How to Apply
To find out more about this Data Scientist opportunity, please apply with your CV for a confidential discussion with the Harnham team.
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Data Integrity Programme Manager
Huddersfield
£550 - £650
+ Advanced Analytics & Marketing Insights
ContractHuddersfield, West Yorkshire
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DATA GOVERNANCCE AND DATA INTEGRITY MANAGER
6 MONTH CONTRACT
WEST-YORKSHIRE – 3 DAYS ONSITE
OUTSIDE IR35
£550 TO £650 PER DAY
This is an opportunity to lead a high-profile data integrity and transformation programme for a complex organisation undergoing significant change. You’ll play a pivotal role in improving data quality, governance and ownership, helping the business establish sustainable practices that support better decision-making and operational performance.
The Company
This organisation operates across multiple business functions and technology platforms, creating a complex data landscape with significant opportunities for improvement. They are investing in a business-critical Data Integrity Programme focused on enhancing data quality, governance and accountability. Working closely with senior leadership, business stakeholders and technology teams, you will help establish the foundations for long-term data excellence.
The Role and Deliverables
- Lead the mobilisation, governance and delivery of a Data Governance & Integrity Programme across business and technology functions.
- Establish practical data governance frameworks, including ownership models, stewardship responsibilities, decision rights, policies and standards.
- Coordinate data quality, cleansing, remediation, matching and de-duplication initiatives across priority data domains.
- Facilitate workshops and governance forums to drive cross-functional decisions, resolve issues and align stakeholders.
- Develop programme roadmaps, manage dependencies, risks and decision logs, and provide clear progress reporting to senior stakeholders.
- Embed sustainable data management practices through knowledge transfer, documentation, governance artefacts and business-as-usual handover.
Your Skills & Experience
- Strong experience establishing and embedding enterprise data governance frameworks and operating models.
- Proven capability in data quality management, data ownership, stewardship, accountability and governance processes.
- Hands-on experience delivering data transformation, remediation, cleansing and master data management initiatives.
- Strong understanding of data quality rules, validation frameworks, exception management and audit requirements.
- Experience facilitating complex discussions across business, operational and technology stakeholders.
- Ability to influence senior leaders, provide constructive challenge and drive decisions where accountabilities are unclear.
- Strong programme coordination, governance reporting and stakeholder management skills.
- Experience working within complex multi-system environments and managing data across multiple business functions.
- Ability to translate governance principles into practical, sustainable operational processes.
- Exposure to Microsoft data technologies, including Microsoft Purview, Power BI or Azure data services, is advantageous.
To Apply for this Job Click Here
Senior Digital Analyst
Watford
£55000 - £65000
+ Digital Analytics
PermanentWatford, Hertfordshire
To Apply for this Job Click Here
Senior Digital Analyst
Watford – hybrid 3x a week
Up to £65,000 + Bonus
This is an exciting opportunity to join a business investing heavily in digital growth, analytics innovation, and customer experience transformation. You’ll work on high-profile digital products, influence commercial decision-making, and help shape how digital performance is measured across a large-scale consumer environment.
The Company
They are a well-established consumer-focused organisation undergoing significant digital transformation. Digital channels have been identified as a key strategic growth area, with substantial investment in customer journeys, product innovation, payments, and analytics capabilities.
Operating within a collaborative and fast-paced environment, the business combines the resources of a large organisation with the agility of a modern digital team. Analytics plays a central role in driving commercial outcomes, customer experience improvements, and strategic decision-making.
The Role
As a Senior Digital Analyst, you will partner with stakeholders across Digital, Product, Marketing, Acquisition, and Data teams to deliver insight and performance measurement across key customer journeys.
Responsibilities include:
- Delivering analysis and insight on digital customer journeys to identify opportunities for growth and optimisation
- Building and enhancing dashboards and self-service reporting solutions
- Translating complex data into clear, actionable commercial recommendations
- Measuring the impact of digital initiatives, products, and customer experiences
- Supporting experimentation and CRO programmes through analysis and performance evaluation
- Developing measurement frameworks that connect customer behaviour with commercial and financial outcomes
- Working closely with technical and development teams to ensure accurate and effective data collection
- Driving reporting improvements and promoting data democratisation across the organisation
- Exploring AI and automation tools to improve analytical efficiency and workflows
- Contributing to a project-led analytics environment focused on business impact rather than routine reporting
Your Skills & Experience
You will ideally bring:
- Strong experience in Digital Analytics within a commercial environment
- Advanced SQL skills, including complex querying and working with large datasets
- Experience analysing web and app customer behaviour and connecting insights to business outcomes
- A background delivering both ad hoc analysis and automated reporting solutions
- Experience building dashboards and presenting insight to senior stakeholders
- Knowledge of CRO, experimentation, and customer journey optimisation
- Familiarity with web analytics platforms such as Adobe Analytics, Google Analytics, Piano Analytics, or similar
- Experience working with cloud data platforms such as Snowflake or equivalent
- Exposure to Python or R would be advantageous
- Understanding of tagging and digital measurement frameworks, without requiring hands-on implementation expertise
- Interest in leveraging AI tools and automation to enhance analytics workflows
What They Offer
- Exposure to large-scale digital products and high-impact transformation programmes
- Opportunity to work closely with Product, Commercial, Marketing, and Data leadership teams
- Clear opportunity to influence analytics strategy and digital performance measurement
How to Apply
To find out more about this Senior Digital Analyst opportunity or discuss your suitability, please apply with your CV today.
To Apply for this Job Click Here
Machine Learning Engineer
$180000 - $200000
+ Data Science & AI
PermanentUSA
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Machine Learning Engineer
USA based (Fully Remote)
$180,000 to $200,000 base + bonus + equity
This is an opportunity to join a high-impact Machine Learning team where experimentation, ownership, and real-world impact sit at the core of the role. You will work on systems that directly influence commercial outcomes at scale, with the autonomy to design, test, and deploy solutions that power critical decision-making.
The Company
This organisation operates at the intersection of data, commerce, and risk, building advanced machine learning systems to solve complex transactional challenges. Their platform processes high volumes of real-time decisions, using AI to optimise customer experiences while managing risk. Machine learning is central to their product and growth, not a supporting function, giving teams strong visibility across the business.
They foster a culture that values scientific thinking, creativity, and engineering rigour, with teams structured to own their services end to end.
The Role
You will contribute to the development of production-grade machine learning systems, working across the full lifecycle from experimentation through to deployment.
* Designing and implementing machine learning models that drive real-time decisioning
* Building and optimising scalable ML pipelines to enable rapid experimentation
* Exploring and integrating new ML techniques to improve model accuracy and scalability
* Collaborating closely with Product, Engineering, and Risk teams
* Owning projects end to end, with full accountability for outcomes in production
Your Skills and Experience
* Strong commercial experience building and deploying machine learning models from first principles
* Hands-on experience working in distributed computing environments such as Spark
* Proficiency in Python and SQL for data processing and model development
* Experience designing and running experiments rather than relying on pre-built models or APIs
* Ability to translate business problems into scalable machine learning solutions
What They Offer
* Competitive base salary up to $200,000 depending on experience
* Annual bonus / equity package
* Fully remote working within the USA
* Flexible working and unlimited paid time off
* Generous parental leave and learning and development support
* The opportunity to work on high-scale systems with meaningful business impact
How to Apply
If you are interested in applying your machine learning expertise to real-world challenges at scale, please submit your CV to learn more.
To Apply for this Job Click Here
Marketing Analytics Lead
Watford
£85000 - £95000
+ Advanced Analytics & Marketing Insights
PermanentWatford, Hertfordshire
To Apply for this Job Click Here
Marketing Analytics Lead
Up to £95,000 + Bonus
Watford (Hybrid – 3 Days per Week in the Office)
Are you a commercially minded Marketing Analytics leader who enjoys connecting data, insight and strategy to influence business performance? This is an opportunity to take ownership of a broad marketing analytics agenda within a major consumer-facing organisation. Working directly with senior leadership, you’ll bring together expertise across marketing, customer insight, digital and commercial analytics to shape business strategy, influence investment decisions and identify new opportunities for growth. With significant investment in data and analytics, this is a highly visible position where you’ll have the opportunity to shape the future direction of the function.
The Company
A major international entertainment organisation responsible for one of the UK’s most recognisable consumer brands is undergoing an ambitious transformation, with significant investment in its Data, Digital and Customer capabilities. With a growing focus on customer engagement, marketing effectiveness and commercial optimisation, the business is evolving how it uses data and insight to inform strategic decision-making. You’ll be joining at an exciting point in that journey, with the opportunity to influence how analytics supports some of its most commercially important functions.
The Role
As Marketing Analytics Lead, you’ll operate as a senior strategic partner to the Marketing and Games leadership teams, reporting directly to the Head of Data & Analytics. This is a broad, senior individual contributor position, sitting above the existing management structure and working across multiple analytical squads. Rather than managing a single specialist team, you’ll be responsible for connecting different areas of analytics, insight and research, ensuring the business is asking the right questions and that analytical resource is focused on the opportunities with the greatest commercial value. You’ll have ownership of the wider marketing analytics agenda, spanning everything from customer and campaign performance through to marketing effectiveness, commercial insight and long-term strategic planning.
Key responsibilities include:
- Act as the senior analytics partner to Marketing and Games leadership, building relationships and influencing strategic and commercial decisions.
- Own and shape the marketing analytics agenda, translating business objectives into a prioritised roadmap of analytical initiatives.
- Connect expertise across marketing analytics, customer insight, digital analytics, commercial analytics, research and marketing effectiveness.
- Drive a holistic understanding of marketing performance, including acquisition, conversion, customer behaviour, engagement and lifetime value.
- Lead the marketing effectiveness agenda, bringing together campaign measurement, attribution, experimentation, brand insight and Marketing Mix Modelling (MMM).
- Challenge existing approaches to marketing measurement and identify opportunities to improve how marketing investment is evaluated.
- Influence the future operating model for performance marketing, including exploring opportunities to bring capabilities further in-house.
- Work across Games and Marketing to identify commercial opportunities, understand product and portfolio performance and support strategic investment decisions.
- Coordinate multidisciplinary analytical squads, ensuring teams are aligned around the most important business priorities.
- Partner with data and product teams to shape future data capabilities and influence the longer-term analytics roadmap.
- Ensure analytical outputs translate into clear recommendations, commercial decisions and measurable business outcomes.
Your Skills & Experience
- Significant experience within Marketing Analytics, Marketing Effectiveness, Customer Analytics or Commercial Insight.
- A broad understanding of marketing analytics, with experience working across multiple areas rather than a single specialist discipline.
- Strong understanding of marketing performance, including acquisition, conversion, campaign measurement and customer engagement.
- Experience with Marketing Mix Modelling (MMM), attribution, experimentation or other marketing effectiveness methodologies.
- Previous hands-on experience across marketing analytics and effectiveness, with the ability to challenge methodologies and translate findings into commercial recommendations.
- Proven experience partnering with senior stakeholders and influencing strategic business decisions.
- Experience leading or coordinating multidisciplinary analytical teams, squads or workstreams.
- Strong commercial acumen, with the ability to connect customer, marketing and commercial insight to wider business strategy.
- Comfortable operating at a strategic level while retaining sufficient technical and analytical understanding to challenge specialist teams.
The Benefits
- £85,000-£95,000
- Bonus
- Matched pension contributions up to 8.5%.
How to Apply
If you’re an experienced Marketing Analytics professional looking for a broader strategic position where you can influence senior stakeholders, shape analytical direction and drive commercial performance, I’d be keen to hear from you! 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
ML Engineer
London
£600 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
ML Engineer
£600 to £650 per day
London
Inside IR35
Hybrid, 2 days per week in the office
This is an opportunity for an ML Engineer to work on high-scale, real-time machine learning systems, with a strong focus on deploying and operationalising models in live online environments. The role is mainly deployment focused, with additional involvement across machine learning, recommendation systems and LLMs.
The Company
They are a major digital organisation operating high-traffic online platforms, with machine learning playing an important role in the customer experience. Their teams are developing and deploying ML solutions across recommendations, ranking, pricing and product retrieval. This assignment sits within a specialist recommendations team working on live, production ML systems.
The Role and Deliverables
- Deploy and productionise machine learning models within live, online environments.
- Build and support real-time ML systems across recommendations, ranking and pricing.
- Develop MLOps processes to support reliable model deployment and operation.
- Work with ML technologies including TensorFlow, PyTorch and MLflow, with flexibility around the wider technology stack.
- Support LLMOps and the deployment of open-weight LLMs for product retrieval and data processing.
- Work alongside ML specialists to take models from development into scalable production environments.
Your Skills & Experience
- Strong ML experience with a clear focus on deploying ML models into production.
- Strong knowledge of real-time, online or high-throughput machine learning systems.
- Experience working with recommendation, ranking, retrieval or similar production ML systems.
- Hands-on capability with TensorFlow, PyTorch, MLflow or comparable ML tooling.
- Strong understanding of ML deployment, productionisation and operational ML infrastructure.
- Experience with LLMOps or deploying LLMs into production environments would be highly beneficial.
How to Apply
If you are an ML Engineer with strong production deployment experience and have worked with real-time machine learning systems, apply to find out more.
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