Senior Data Scientist (Contract)
London / £500 - £600 day
INFO
RATE:
£500 - £600
LOCATION
London
Contract
Senior Data Scientist (Contract)
3 Months Initial (possibility to extend)
Hybrid, London
£500 - £600 Per Day
Immediate Start
The Company
They are an early-stage AI organisation focused on developing advanced data products for a complex global industry. Their work combines machine learning, data modelling, and modern AI techniques to generate meaningful insights from rich, real-world datasets. With a strong technical culture and deep domain expertise, they are looking for an experienced contractor to help deliver critical data science capabilities at an important stage of growth.
The Role and Deliverables
- Profile, analyse, and explore complex industrial datasets to identify modelling opportunities and data quality considerations.
- Establish baseline approaches and define robust evaluation datasets, metrics, and validation frameworks.
- Build and deploy classification, matching, and inference models for production use.
- Measure model performance and produce detailed error analysis to support ongoing improvement.
- Apply LLMs in appropriate use cases such as extraction, constrained labelling, and code generation, supported by clear evaluation processes.
- Collaborate with domain experts to translate complex business challenges into practical machine learning solutions.
Your Skills & Experience
- Strong experience building and deploying machine learning models in production environments where accuracy and reliability are critical.
- Advanced Python skills, including hands-on use of pandas and scikit-learn.
- Strong statistical knowledge and the ability to design effective validation and evaluation methodologies.
- Experience assessing model performance, analysing errors, and communicating findings clearly.
- Capability to build or contribute to LLM-powered workflows with robust evaluation frameworks.
- Comfortable working independently and taking ownership of technical standards and delivery.
- Ability to work effectively with subject matter experts in unfamiliar domains.
How to Apply
If you're a hands-on Senior Data Scientist looking for an impactful contract opportunity with a strong technical challenge, please apply with your latest CV for consideration.
CONTACT
Lotte Freeman
Recruitment Executive
SIMILAR
JOB RESULTS
Senior Software Engineer
London
£100000 - £140000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Product Engineer
London (Hybrid, 3 days)
Join a well-funded AI startup building a behavioural intelligence platform for financial services. As an early engineering hire, you’ll play a key role in shaping the product, architecture, and engineering culture while working closely with founders and senior leadership.
The Company
They are developing an AI-powered platform that helps organisations better understand customer behaviour and decision-making. With strong early customer traction and enterprise PoCs underway, they are now scaling their product and engineering capability.
The Role
- Build and scale LLM-enabled product features from concept to production
- Design APIs, backend systems, and AI-powered workflows
- Improve model quality through evaluation, monitoring, and guardrails
- Optimise token usage, performance, and cost efficiency
- Collaborate on product strategy, roadmap, and architecture
- Help establish engineering best practices as the team grows
Your Skills & Experience
- Strong product engineering background
- Experience building and launching an LLM-powered product
- Backend expertise, ideally with Node.js and TypeScript
- Experience with APIs, cloud infrastructure, and scalable systems
- Comfortable operating with autonomy in an early-stage environment
- Strong communication and stakeholder management skills
What They Offer
- £115,000 to £140,000 base salary
- Meaningful equity package
- Hybrid working in London
- Significant ownership and autonomy
- Opportunity to shape a product and engineering function from an early stage
To Apply for this Job Click Here
Data Scientist/AI Engineer
Amsterdam
€70000 - €78000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
AI/ML Engineer
Amsterdam, Netherlands
78,000 + Benefits
This is an opportunity to join a growing AI and Data function where you’ll help move AI use cases from concept into production, delivering measurable business impact. You’ll work across the full solution lifecycle, combining software engineering, machine learning, data integration, and modern AI technologies to build products that solve real business challenges.
The Company
Our client is a well-established international organisation investing heavily in AI, data, and digital innovation. They are focused on building scalable AI-powered products that enhance customer experiences and improve operational efficiency. The business combines the stability of an established organisation with the agility and ambition of a modern technology-focused environment. AI is a strategic priority, offering the opportunity to work on impactful initiatives with strong visibility across the organisation.
The Role
As an AI/ML Engineer, you will design, develop, and deploy production-grade AI solutions that deliver tangible business value.
Responsibilities include:
- Building and scaling AI-powered applications and backend services using Python
- Developing AI assistants, agent workflows, and orchestration frameworks using modern LLM technologies
- Translating business requirements into reliable, secure, and production-ready AI solutions
- Integrating enterprise data sources into AI products and services
- Collaborating with data, engineering, and business stakeholders to deliver end-to-end solutions
- Creating reusable components, tools, and frameworks to accelerate future AI development
- Developing and maintaining automated testing and evaluation frameworks for AI applications
- Supporting containerised deployments, CI/CD pipelines, and operational best practices
- Monitoring solution performance and driving continuous improvement after deployment
- Ensuring solutions align with security, privacy, and responsible AI standards
Your Skills & Experience
- Strong commercial experience building production-grade applications in Python
- Expertise with FastAPI, Pydantic, and API-based architectures
- Experience developing LLM-powered applications using technologies such as OpenAI, LangChain, and LangGraph
- Strong understanding of prompt engineering, agent orchestration, tool calling, and structured outputs
- Experience working with Databricks, SQL, data pipelines, and enterprise data integration
- Knowledge of automated testing and quality assurance practices for AI applications
- Experience with Docker, Azure DevOps, CI/CD, and cloud-based environments
- Understanding of software engineering best practices, including maintainability, observability, and scalability
- Ability to work effectively with both technical and non-technical stakeholders
- A collaborative mindset and passion for delivering high-quality AI products
What They Offer
- €78,000 base salary depending on experience
- Annual bonus and comprehensive benefits package
- Hybrid working environment
- Exposure to cutting-edge AI and machine learning technologies
- Opportunity to work on high-impact, enterprise-scale AI initiatives
- Strong career progression within a growing AI and Data function
- Collaborative and innovative technology culture
How to Apply
If you’re an AI/ML Engineer looking to build and scale production AI solutions in a forward-thinking environment, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Head of Data Engineering
Amsterdam
€100000 - €130000
+ Data Engineering
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Head of Data Engineering
Amsterdam, Netherlands (Hybrid) | €110,000 – €150,000 + Bonus + Benefits
This is a rare opportunity to take ownership of a business-critical data transformation programme at a leadership level. As Head of Data Engineering, you will lead the build-out of a modern data platform, shape engineering standards, and develop a high-performing team while working closely with senior stakeholders to deliver long-term business value.
The Company
They are a growing, data-driven organisation investing heavily in their data and AI capabilities. With a clear roadmap and strong executive sponsorship, they are modernising their data estate and building a scalable platform to support analytics, AI, and business decision-making.
The organisation is moving from strategy into execution and is seeking an experienced data engineering leader to define best practices, drive delivery, and build a team capable of supporting ambitious growth plans.
The Role
You will lead the Data Engineering function, combining people leadership, technical oversight, and strategic delivery.
Responsibilities include:
- Building, leading, and mentoring a team of Data Engineers, Analytics Engineers, and Platform Engineers
- Defining and executing the data engineering roadmap in partnership with senior leadership
- Driving delivery across platform development, data migrations, and modernisation initiatives
- Establishing engineering standards covering code quality, CI/CD, testing, documentation, and operational excellence
- Overseeing architecture decisions to ensure scalable, reliable, and secure data solutions
- Developing cloud-based data platforms that support analytics, reporting, and AI use case
- Managing stakeholder relationships across technology, product, analytics, and business teams
- Ensuring platform reliability through monitoring, incident management, and operational governance
- Supporting hiring, team development, and succession planning within the engineering function
- Championing best practices across Data Engineering, DataOps, and platform operations
Your Skills & Experience
- Strong commercial experience leading Data Engineering teams and delivering large-scale data platform programmes
- Expertise with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud
- Strong understanding of data warehousing, data modelling, ETL/ELT pipelines, and orchestration tools
- Experience building and scaling engineering teams while maintaining high technical standards
- Ability to lead architectural discussions and make informed technical decisions
- Experience implementing CI/CD, automation, testing, and DataOps best practices
- Strong stakeholder management skills with the ability to translate business requirements into technical delivery plans
- Experience delivering complex transformation programmes, including migrations, consolidations, or greenfield platform builds
- Familiarity with governance, security, and compliance requirements within enterprise environments
- A hands-on leadership style with the ability to support technical teams when needed
What They Offer
- Salary between €110,000 and €150,000 depending on experience
- Performance-related bonus
- Comprehensive benefits package
- Flexible and hybrid working arrangements
- Opportunity to shape and scale an entire Data Engineering function
- Significant exposure to senior leadership and strategic decision-making
- Clear progression towards Director-level and broader Data & AI leadership responsibilities
- The chance to influence the organisation’s long-term data and AI strategy
How to Apply
If you’re an experienced Data Engineering leader looking to build teams, drive platform transformation, and make a lasting impact, apply today to discuss this opportunity in more detail.
To Apply for this Job Click Here
Senior Data Engineer | Computer Vision
London
£600 - £782
+ Computer Vision
ContractLondon
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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.
To Apply for this Job Click Here
Business Analyst
London
£450 - £520
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
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 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.
To Apply for this Job Click Here
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
Machine Learning Engineer
$180000 - $200000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
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
ML Engineer
London
£600 - £650
+ Data Science & AI
ContractLondon
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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.
To Apply for this Job Click Here
BI Analyst
London
£40000 - £44000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
BI Analyst
London | Hybrid
Up to £44,000
This is an exciting opportunity for a BI Analyst to join a data-focused organisation where analytics plays a central role in driving strategic decision-making. You’ll have the chance to take ownership of high-impact reporting, modernise analytical processes through automation, and help shape the future of data capabilities across the business. This role offers a strong balance of technical delivery, stakeholder engagement, and continuous improvement.
The Company
They are a well-established organisation undergoing continued investment in their data and analytics function. Data is at the heart of key business decisions, and they are committed to building scalable, reliable, and modern analytical processes.
Working across multiple business areas, they leverage a combination of internal and external datasets to generate meaningful insights, support product and commercial initiatives, and deliver valuable reporting to both internal and external stakeholders. They offer a collaborative environment with a strong focus on innovation, data quality, and professional development.
The Role
As a BI Analyst, you will:
- Own and deliver recurring analytical outputs, reporting, and insight generation activities
- Develop and maintain robust SQL-based data processes and reporting pipelines
- Design, build, and optimise Power BI dashboards and data models
- Integrate and enrich data from multiple internal and external sources
- Implement data validation, reconciliation, and quality assurance processes
- Identify trends, patterns, and opportunities through advanced analytics
- Support product, commercial, and operational teams with data-driven recommendations
- Produce clear, impactful reporting and communicate findings to both technical and non-technical stakeholders
- Contribute to the development of scalable analytics infrastructure and best practice methodologies
Your Skills & Experience
- Strong commercial experience with SQL and Power BI
- Experience building dashboards, reports, and data models
- Strong analytical skills with the ability to interpret complex datasets
- Experience improving and automating reporting processes
- Knowledge of data validation, quality assurance, and governance practices
- Exposure to Python or R for analysis and automation would be beneficial
- Excellent communication skills with the ability to engage technical and non-technical stakeholders
What They Offer
- Salary of £44,000 depending on experience
- Comprehensive benefits package
- The opportunity to own business-critical analytics and reporting functions
- Exposure to modern data technologies, automation, and AI initiatives
- Ongoing training and professional development opportunities
- Clear progression within a growing data and analytics team
- Collaborative and supportive working environment
- Hybrid working flexibility
How to Apply
If you’re an Analytics Engineer looking to work on meaningful data projects, drive automation, and influence business decision-making through analytics and insight, apply today.
To Apply for this Job Click Here
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