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MACHINE LEARNING ENGINEERING LEAD
UP TO £125,000
LONDON

This is an excellent opportunity for an experienced ML Engineering Manager or technical leader to join a high-growth fintech and take ownership of a growing machine learning engineering function. You’ll combine hands-on technical contribution with people leadership, helping scale production ML systems while shaping the future direction of the team.

THE COMPANY

Our client is a growing fintech with a strong engineering culture and investment in data. Machine learning forms a critical part of their technology strategy, creating an environment where engineering teams have a direct impact on business outcomes. As the company continues to scale, they are investing in maturing their ML platform and expanding their engineering capabilities.

THE ROLE

Responsibilities include but are not limited to:

• Lead and develop a team of ML and MLOps engineers

• Own delivery, operational performance, and technical execution across the ML Engineering function

• Drive the evolution of machine learning infrastructure, deployment pipelines, and MLOps capabilities

• Contribute hands-on to architecture, platform development, and production ML initiatives

• Help shape the long-term strategy, growth, and maturity of the ML Engineering function

YOUR SKILLS AND EXPERIENCE:

• Previous people management or engineering leadership experience

• Strong commercial experience in Software Engineering, ML Engineering, or MLOps environments

• Experience building, deploying, and supporting machine learning solutions at scale

• Experience working with AWS and ML tooling such as MLflow, Airflow, Metaflow, or Snowflake

• Ability to balance technical leadership, strategic thinking, and hands-on engineering contribution

SALARY AND BENEFITS

• Up to £125,000 base salary
• Contributory pension scheme

HOW TO APPLY

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

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BI DEVELOPER (12-18 MONTH FTC)
LONDON/HYBRID
UP TO £60,000

This is an excellent opportunity for a BI Developer to join a growing consultancy that delivers data and analytics solutions to leading investment and financial services organisations. You’ll work on a variety of complex data projects, gain exposure to different client environments, and contribute to the development of scalable business intelligence solutions that drive decision-making.

ROLES AND RESPONSIBILITIES:
The BI Developer will:

• Build and maintain ETL processes and data pipelines.
• Develop and optimise SQL Server and T-SQL solutions.
• Design and enhance semantic, tabular, and dimensional data models.
• Support SSAS cube development and DAX calculations.
• Work closely with data and business analysts to translate requirements into technical solutions.
• Troubleshoot data issues and supporting end users.
• Contribute to testing, quality assurance, and peer review activities.
• Collaborate with senior developers on solution design and technical delivery.
• Work with evolving requirements and diverse client architectures.

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience with SQL Server and T-SQL development.
• Proven ETL development and data pipeline experience.
• Solid understanding of data warehousing principles and best practices.
• Experience with dimensional modelling, including concepts such as star schema, semantic models, tabular models and Kimball methodologies.
• Exposure to DAX development.
• Experience working across complex data environments and multiple stakeholders.
• Strong problem-solving and communication skills.
• Consultancy experience is highly desirable, although candidates from fast-paced project environments will also be considered.
• Exposure to Python would be advantageous.

APPLY BELOW

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BI Developer
London/Hybrid
Up To £60,000

This is an excellent opportunity for a BI Developer to join a specialist data consultancy delivering high-impact projects for clients across the private capital and investment sector. You’ll work on complex data integration challenges, gain exposure to a variety of client environments, and play a key role in building scalable data solutions that drive business decision-making.

The Company
They are a growing data and technology consultancy that helps investment-focused organisations unlock greater value from their data. Combining advisory expertise with a proprietary data platform, they deliver solutions across reporting, analytics, system integration, and operational efficiency. With an established client base and a strong reputation in their market, they offer a collaborative environment where individuals are encouraged to take ownership and develop their technical expertise.

The Role
As a BI Developer, you will work closely with analysts, developers, and client stakeholders to design and deliver robust data solutions.
Key responsibilities include:

• Building and maintaining ETL pipelines across a range of client environments
• Developing, optimising, and supporting complex T-SQL solutions
• Designing and enhancing semantic, tabular, and dimensional data models
• Supporting data warehousing initiatives and reporting capabilities
• Developing and maintaining DAX calculations and analytical models
• Troubleshooting data issues and resolving technical challenges
• Collaborating with analysts to translate business requirements into technical solutions
• Working directly with client data environments and contributing to solution design
• Supporting the delivery of data integration projects across varying architectures and technology stacks
• Managing changing priorities while maintaining high-quality delivery

Your Skills & Experience
You will ideally have:

• Strong commercial experience with SQL, preferably T-SQL
• Experience designing and building ETL pipelines
• SQL Server development experience
• Strong understanding of data warehousing principles
• Experience with dimensional modelling, including concepts such as star schema, semantic models, tabular models, and Kimball methodologies
• Exposure to DAX and analytical modelling
• Experience working across complex data environments
• Strong stakeholder communication skills and the ability to work with evolving requirements
• Experience within a consultancy or project-based environment, or evidence of delivering multiple concurrent initiatives in a fast-paced setting
• Python experience would be advantageous but is not essential

What They Offer

• £50,000 – £60,000 base salary
• Hybrid working model with three days per week in the London office
• Fixed-term contract with strong potential for longer-term opportunities
• Exposure to leading organisations within the private capital and investment space
• Opportunity to work with modern data technologies and proprietary platforms
• Varied, project-driven work across different client environments
• Investment in professional development, training, and certifications
• A collaborative culture that values autonomy, ownership, and continuous learning

How to Apply
If you’re a BI Developer with strong SQL, ETL, and data modelling expertise looking to broaden your experience within a specialist consultancy environment, please apply with your CV to be considered.

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BI Developer (12-18 month FTC)

London (Hybrid – 3 days in office) | £50,000 – £60,000

An exciting opportunity has arisen for a BI Developer to join a growing data consultancy on a fixed-term contract. This role offers the chance to work on complex data integration and business intelligence projects for high-profile clients, helping organisations unlock greater value from their data. With exposure to a variety of technology environments and the opportunity to take ownership of delivery, this is an excellent role for someone who enjoys solving data challenges in a fast-paced, client-focused environment.

The Company

Our client is a specialist data and technology consultancy that helps organisations improve reporting, analytics, and decision-making through modern data solutions. They work with complex data environments, supporting clients with data integration, business intelligence, and data platform development.

The Role

• As a BI Developer, you will play a key role in designing, developing, and maintaining business intelligence solutions across a range of client projects.
• Responsibilities include:
• Developing and maintaining ETL pipelines and data integration processes
• Writing, optimising, and troubleshooting complex T-SQL queries and stored procedures
• Building and enhancing semantic and tabular data models
• Supporting SSAS cube development and DAX calculations
• Applying dimensional modelling and data warehousing best practices
• Collaborating with business and data analysts to translate requirements into technical solutions
• Investigating data issues and supporting users with technical queries
• Contributing to testing, quality assurance, and solution design activities
• Working within a consultancy environment where priorities and requirements can evolve

Your Skills & Experience

• Strong commercial experience with SQL Server and T-SQL development
• Experience building and maintaining ETL processes and data pipelines
• Solid understanding of data warehousing concepts and dimensional modelling
• Experience working with semantic models, tabular models, star schemas, Kimball methodologies, or similar data modelling approaches
• Exposure to SSAS, DAX, and BI solution development
• Experience working across different data architectures and technology environments
• Strong problem-solving and stakeholder communication skills
• Ability to work independently and adapt to changing priorities
• Python development or scripting experience
• Azure data platform exposure
• Consultancy or client-facing project delivery experience

What They Offer

• Salary of £50,000 – £60,000
• 12-18 month fixed-term contract
• Hybrid working model with 3 days in the London office
• Exposure to a wide range of client projects and data environments
• Ongoing learning and development opportunities, including certifications and training
• Private healthcare and enhanced pension contributions
• Clear opportunities to develop technical and consulting expertise
• Collaborative, high-performance culture with strong ownership and autonomy

Please note that sponsorship is not available for this position. Applicants must have the right to work in the UK without requiring current or future visa sponsorship.

How to Apply

If you’re an experienced BI Developer, apply below!

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BI Engineer – 12 month FTC
London (Hybrid)
Up to £60,000

This is an excellent opportunity for a BI Engineer to join a growing data consultancy delivering complex data and analytics solutions for investment and financial services clients. You’ll work on challenging data integration projects, gain exposure to a variety of modern data environments, and develop both your technical and consulting skills within a collaborative, high-performing team.

The Company
They are a specialist data and technology consultancy that helps organisations build trusted, scalable data platforms. Their work focuses on data integration, analytics, reporting, and operational efficiency, enabling clients to make better decisions through high quality data. With continued growth and a strong project pipeline, they offer an environment where BI Engineers can take ownership, work closely with stakeholders, and develop their expertise across a range of technologies and client environments.

The Role
As a BI Engineer, you will play a key role in designing, developing, and supporting data solutions for client projects.
Responsibilities include:

• Building and maintaining ETL pipelines and data integration processes.
• Developing, optimising, and troubleshooting complex SQL Server and T-SQL solutions.
• Creating and enhancing semantic and tabular data models.
• Supporting SSAS cube development and DAX calculations.
• Applying dimensional modelling and data warehousing best practices.
• Working with analysts and stakeholders to translate business requirements into technical solutions.
• Investigating and resolving data quality and reporting issues.
• Supporting testing, quality assurance, and deployment activities.
• Collaborating across project teams to deliver scalable and reliable data solutions.

Your Skills & Experience
You will have strong commercial experience with:

• SQL Server and SQL development.
• ETL development and data pipeline engineering.
• Data warehousing principles and dimensional modelling.
• Star schema, Kimball methodologies, semantic models, and tabular models.
• DAX.
• Working within fast-paced delivery environments.
• Communicating effectively with both technical and non-technical stakeholders.
• Experience within a consultancy environment would be highly beneficial.
• Exposure to Azure data services, Data Vault modelling, or Python would also be advantageous.

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Lead Machine Learning Engineer
London (Hybrid) | £110,000 – £120,000

This is an excellent opportunity for a hands-on Machine Learning Engineer who is keen to take the next step into leadership. You’ll continue building and deploying production-grade ML systems while gradually taking on team management responsibilities, offering the chance to shape both technical strategy and team growth.

The Company
A high-growth technology business with a strong focus on machine learning and data-driven decision-making. They are investing heavily in their ML capabilities and are looking for a technical leader to help scale their machine learning infrastructure, engineering best practices, and team capability. You’ll join a collaborative environment where engineering excellence and innovation are highly valued.

The Role
As a Lead Machine Learning Engineer, you will remain deeply involved in the technical delivery of machine learning solutions while mentoring a growing team.

Responsibilities include:

• Build and maintain production-grade machine learning systems and pipelines.
• Remain hands-on with coding, code reviews, debugging, and deployments.
• Mentor and support a small team of Machine Learning Engineers.
• Establish machine learning engineering and MLOps best practices.
• Improve deployment, monitoring, and model lifecycle management processes.
• Collaborate closely with Data Science, Risk, Product, and Engineering teams.
• Contribute to technical roadmap planning and future hiring initiatives.

Your Skills & Experience

• Strong background as a Machine Learning Engineer.
• Experience deploying and maintaining machine learning models in production environments.
• Strong software engineering capabilities, including Python, APIs, and distributed systems.
• Good understanding of MLOps tooling, including CI/CD, monitoring, and pipeline management.
• Experience with tools such as MLflow, Airflow, Evidently, DVC, Docker, or Kubernetes.
• Experience working within AWS, GCP, or Azure environments.
• Previous mentoring or leadership experience with an interest in developing management responsibilities.

How to Apply
If you’re interested in combining hands-on machine learning engineering with a clear pathway into leadership, please apply with your CV for immediate consideration.

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BI Engineer

Contract: 12 month FTC (possibility of going permanent)

Location: London | Working Pattern: Hybrid (3 days in the office)

I’m currently representing my client, who is looking for a BI Engineer to support the development of data models, ETL processes and reporting solutions, working closely with analysts and developers to deliver high-quality BI solutions.

The Role:

• Develop and maintain ETL processes, data warehouses and SSAS cubes.

• Build and enhance data and semantic models, including advanced DAX calculations.

• Write and optimise SQL queries and stored procedures.

• Support testing, quality assurance, bug fixing and data validation.

• Troubleshoot data issues and support client queries.

• Collaborate with analysts and developers to deliver scalable, reliable BI solutions.

The Requirements:

• Strong SQL Server and T-SQL development experience.

• Experience with SSAS multidimensional and Tabular models, including DAX.

• Knowledge of ETL processes, data warehousing and dimensional modelling.

• Familiarity with Azure data services and modern data platforms.

• Experience with data validation, testing and quality assurance.

• Understanding of established BI development standards and architectural patterns.

What Will Make You Stand Out:

• Experience with Data Vault and Kimball modelling methodologies.

• Programming or scripting skills.

• Strong problem-solving abilities and a proactive approach to troubleshooting.

• Experience supporting junior developers through knowledge sharing and peer reviews.

If you are interested in the role please apply. To follow up please message me on email or LinkedIn.

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Senior Data Scientist
London (Hybrid) | £60,000 to £90,000

This is an exciting opportunity to join a fast-growing fintech business where data science sits at the heart of commercial decision-making. You’ll work on high-impact machine learning solutions that directly influence lending, risk, and business performance while collaborating with a highly skilled, data-driven team.

The Company
Our client is a high-growth financial technology organisation delivering innovative embedded finance solutions to businesses across multiple international markets. They have built a strong reputation for combining advanced technology with data-led decision-making. With ambitious growth plans and a collaborative culture, they offer an environment where data professionals can make a visible impact.

The Role
As a Senior Data Scientist, you will play a key role in developing machine learning and predictive analytics solutions that support critical business and risk decisions.
Responsibilities include:

• Analysing large and complex datasets to identify trends, patterns, and actionable insights.
• Building and deploying machine learning models to support forecasting, risk assessment, fraud detection, and customer outcomes.
• Developing predictive models that drive commercial and operational decision-making.
• Creating dashboards and visualisations to communicate findings to technical and non-technical stakeholders.
• Partnering with product, engineering, and commercial teams to embed data-driven solutions into products and processes.
• Working closely with data engineering teams to optimise data infrastructure and analytical workflows.
• Supporting best practices across machine learning operations and model lifecycle management.

Your Skills & Experience

• Strong commercial experience as a Data Scientist within a data-rich environment.
• Advanced Python and SQL skills for analysis, modelling, and data manipulation.
• Hands-on experience developing and deploying machine learning models.
• Strong understanding of predictive analytics and statistical modelling techniques.
• Experience translating complex analytical findings into clear business recommendations.
• Ability to work effectively with cross-functional stakeholders across technical and non-technical teams.
• Experience working with financial, lending, payments, or transactional data is advantageous.
• Strong problem-solving skills and the ability to navigate ambiguity in a fast-paced environment.

How to Apply
If you’re interested in applying advanced machine learning and data science techniques within a fast-growing fintech environment, please submit your CV for immediate consideration.

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Senior Data Scientist
London 3 days a week

Join a fast-growing fintech that is investing heavily in its data science and risk capabilities. This role offers the opportunity to build impactful machine learning models from the ground up while working on business-critical challenges in lending and forecasting.

The Company
A profitable global fintech with strong growth, recent investment, and expanding international operations. They are continuing to scale their data and analytics function while modernising their technology and modelling infrastructure.

The Role

• Build and deploy machine learning models across the full lifecycle
• Develop and enhance Probability of Default (PD) models and scorecards
• Create revenue forecasting models using techniques such as XGBoost and CatBoost
• Partner with business stakeholders to solve complex commercial problems
• Support the evolution of data science infrastructure and best practices

Your Skills & Experience

• Strong commercial data science experience within fintech, lending, or financial services
• Experience with credit risk modelling and/or revenue forecasting
• Strong Python and SQL skills
• Experience with machine learning techniques, including boosting methods
• Ability to translate business problems into scalable data solutions

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DATA ENGINEER
UP TO £50,000
LONDON

This is an exciting opportunity for a Data Engineer to join a technology-driven organisation. You’ll have the chance to build modern data platforms from the ground up, support AI-focused initiatives, and work across a range of high-profile client projects. You’ll play a key role in shaping the future of the data engineering capability.

THE COMPANY

Our client is a well-established organisation operating at the intersection of data, technology and customer experience. They partner with a range of global brands to deliver innovative, data-led solutions across analytics, marketing and digital transformation. You’ll join a collaborative team working closely with Data Science and business stakeholders to solve complex data challenges.

THE ROLE

Responsibilities include but are not limited to:

• Build and maintain modern data platforms and scalable data pipelines
• Develop cloud-based data solutions
• Support AI-enabled initiatives and emerging data products
• Help establish engineering best practices
• Support data modelling, reporting and analytics requirements

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience with Python, SQL and cloud-based data platforms is essential
• Experience in marketing, advertising or media sectors is highly desirable
• Strong communication skills and ability to engage with stakeholders
• Experience with Snowflake, Microsoft Fabric and/or BigQuery is highly desirable

SALARY AND BENEFITS

• Up to £50,000 base salary
• Contributory pension scheme

HOW TO APPLY

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

To Apply for this Job Click Here

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Data Scientist
Windsor – 3-4 days per week
Up to £60,000

This is an exciting opportunity to join a growing organisation at a pivotal stage in its data and AI journey. You’ll play a key role in building a modern analytics capability from the ground up, helping to transform fragmented data into actionable insight while contributing to innovative machine learning, forecasting, and AI initiatives.

The Company
They are a well-established organisation undergoing significant growth and investment in data, analytics, and technology. With an ambitious transformation programme underway, they are modernising their data infrastructure and building a scalable cloud-based platform to support future growth.

Their focus is on improving decision-making through high-quality data, predictive analytics, and AI-enabled applications. Working in a small, collaborative team, you’ll have the opportunity to influence strategy, shape solutions, and see your work deliver tangible business impact.

The Role
As a Data Scientist, you will work closely with senior stakeholders to develop data products, analytical models, and AI-driven solutions that support both operational and commercial objectives.

Key responsibilities include:

• Designing and implementing scalable data models within a modern cloud data platform
• Improving data quality, standardisation, and reconciliation across multiple source systems
• Performing entity resolution and fuzzy matching to create trusted records and improve data integrity
• Developing forecasting models to support business performance, resource planning, and operational decision-making
• Building machine learning and predictive analytics solutions across a range of business challenges
• Supporting AI-driven document processing and information extraction initiatives
• Creating insightful Power BI dashboards and reports for senior leadership teams
• Working with Snowflake to support data warehousing and analytical modelling activities
• Contributing to data governance, testing, and quality assurance processes
• Collaborating with technical and non-technical stakeholders to translate business challenges into analytical solutions

Your Skills & Experience

• Strong commercial experience in Data Science, Advanced Analytics, Analytics Engineering, or a similar field
• Excellent SQL skills and experience working with large, complex datasets
• Experience building data models for analytics and reporting
• Exposure to forecasting, predictive modelling, machine learning, or statistical analysis
• Experience working with data quality improvement, reconciliation, or fragmented datasets
• Knowledge of Power BI for reporting and stakeholder-facing analytics
• Experience working within modern cloud data environments, ideally Snowflake
• Understanding of data warehousing concepts and analytical data modelling
• Strong communication skills with the ability to engage business stakeholders
• STEM-related academic background

Desirable experience:

• Snowflake Cortex, AI applications, or document processing solutions
• Databricks or similar cloud analytics platforms
• CI/CD, Azure DevOps, or software development lifecycle processes
• Identity resolution, record matching, or master data management initiatives

What They Offer

• Opportunity to work on AI, machine learning, forecasting, and data platform projects
• Exposure to senior stakeholders and business-critical initiatives
• A collaborative environment where your work will directly influence business outcomes
• Clear opportunity to grow alongside a rapidly expanding organisation and analytics function

How to Apply
To find out more about this Data Scientist opportunity in Windsor, please submit your application today.

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