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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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Data Analyst

This is an opportunity to join a PE-backed business building its data and analytics capability. You’ll work across data science, machine learning, and data modelling projects that support operational and commercial decision-making.

They are investing in data, AI, and cloud technologies to improve processes and support growth. The analytics team works closely with stakeholders across the business to deliver reporting, forecasting, and machine learning solutions.

The Role
You will:

• Clean, transform, and prepare data from multiple sources
• Build and maintain data models within a cloud data platform
• Develop predictive models for workforce, occupancy, and operational forecasting
• Work with Snowflake or Databricks to support analytics and machine learning use cases
• Create features and datasets for modelling and reporting
• Deploy and monitor machine learning models
• Support data quality, governance, and documentation
• Partner with stakeholders to identify and deliver analytical solutions

Your Skills & Experience

• Strong Python skills, commercial experience in advanced analytics
• Experience with data wrangling and data cleaning
• Experience designing and maintaining data models
• Experience working with Snowflake and/or Databricks
• Knowledge of predictive modelling, forecasting, and classification techniques
• Experience working with cloud-based data environments
• Ability to work with both technical and non-technical stakeholders

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Senior Fullstack Software Engineer

Location: Cambridge, MA (Hybrid) – 3 Days Onsite

Compensation: Up to $180,000 Base + Equity

If you’re excited by the opportunity to build technology that directly improves patient outcomes, this is a chance to join an early-stage healthcare AI business at a pivotal stage of growth. You’ll work across the full stack, helping to shape a patient-facing platform that combines clinical data, AI-driven insights, and intuitive user experiences to support long-term care and recovery.

The Company

This fast-growing healthcare technology startup is transforming how patients are supported beyond treatment by combining artificial intelligence, clinical data, and modern care delivery workflows. Backed by significant investment and operating at the intersection of healthcare, data, and product innovation, they are building technology that enables more personalised and proactive patient care.

With a lean, highly collaborative engineering team, the organisation offers the opportunity to make a visible impact, influence technical decisions, and take ownership of major product initiatives from an early stage.

The Role

As a Senior Fullstack Software Engineer, you will play a key role in building and scaling patient-facing applications and the underlying platform that powers them.

Key responsibilities include:

• Designing, building, and shipping full-stack product features across web and mobile applications
• Developing backend services and APIs that support patient workflows and clinical operations
• Creating intuitive frontend experiences using modern React-based technologies
• Integrating healthcare and clinical data systems into product workflows
• Building AI-enabled functionality including intelligent recommendations and workflow automation
• Collaborating closely with product, design, clinical, and engineering stakeholders
• Contributing to architecture decisions and platform scalability
• Taking ownership of features from concept through deployment and ongoing optimisation

Your Skills & Experience

You will bring:

• Strong commercial experience as a Fullstack Engineer delivering production software
• Expertise with Python and Django backend development
• Strong frontend development experience using React
• Experience building and shipping customer-facing products at scale
• Strong API design and systems integration knowledge
• Experience working within regulated or complex data environments
• Ability to operate independently in a fast-paced, high-growth environment
• Strong stakeholder communication and product collaboration skills

Desirable experience includes:

• Healthcare, healthtech, telehealth, or EMR integration experience
• Mobile application development experience
• Exposure to AI products, LLM integrations, or intelligent workflow systems
• Experience working with patient-facing digital products

What They Offer

• Opportunity to work on meaningful healthcare challenges with real-world impact
• High levels of ownership and autonomy
• Exposure to AI, healthcare data, and product engineering at scale
• Clear progression opportunities as the engineering function grows
• Collaborative, product-led culture with direct influence over technical direction
• Hybrid working environment with flexibility for the right candidate

How to Apply

To learn more about this opportunity, apply today with your latest CV for a confidential discussion!

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Director of Engineering
Location: Cambridge, MA (Hybrid, 4 days onsite)
Compensation: $250,000 to $270,000 base + 20% bonus + equity

This is an opportunity to join a well-funded HealthTech startup at a pivotal stage of growth. As Director of Engineering, you will play a key role in building the engineering organisation, shaping technical strategy, and scaling products that have the potential to improve healthcare outcomes through the application of machine learning and clinical data.

The Company
They are a venture-backed technology company operating at the intersection of healthcare, machine learning, and real-world data. Their mission is to improve how complex diseases are detected, monitored, and understood through innovative technology and data-driven insights.

Having secured significant early-stage funding, they are now scaling their platform, team, and engineering capabilities. This is a rare opportunity to join at a formative stage and directly influence the company’s technical foundations, culture, and long-term success.

The Role
As Director of Engineering, you will combine hands-on technical leadership with people management and delivery ownership. Working closely with senior leadership, Product, and Engineering teams, you will help create the processes, systems, and culture needed to support continued growth.
Key responsibilities include:

• Lead, mentor, and develop a high-performing engineering team
• Manage engineering delivery, sprint planning, backlog prioritisation, and execution
• Partner with Product and technical stakeholders to deliver scalable solutions
• Contribute directly to production code and complex engineering initiatives
• Architect and evolve backend systems, cloud infrastructure, and application platforms
• Establish best practices across CI/CD, testing, observability, and engineering operations
• Drive engineering standards, technical quality, and continuous improvement
• Support hiring, team growth, and organisational scaling initiatives
• Champion pragmatic adoption of AI-assisted development workflows
• Help build a collaborative and high-performing engineering culture

Your Skills & Experience

• Strong commercial experience leading software engineering teams
• Proven people management and coaching experience within engineering environments
• Excellent hands-on software development capabilities
• Strong Python development experience
• Experience building scalable backend systems and distributed applications
• Expertise with cloud platforms such as AWS or GCP
• Experience implementing and improving CI/CD pipelines and deployment practices
• Background working in startup or high-growth technology environments
• Strong understanding of engineering execution, delivery management, and technical decision making
• Ability to collaborate effectively across Engineering, Product, and leadership teams

Desirable experience:

• Healthcare, HealthTech, biotech, or regulated industry experience
• Experience with HIPAA, SOC2, or similar compliance frameworks
• Exposure to clinical data platforms or healthcare data systems
• React or React Native development experience
• Experience with AI products, AI agents, or AI-assisted software development
• Infrastructure or platform engineering expertise

What They Offer

• Opportunity to build and scale an engineering organisation from an early stage
• Direct access to executive leadership and strategic decision making
• Significant technical ownership and influence
• Clear progression opportunities as the company grows
• Hybrid working model based in Cambridge, MA

How to Apply
If you’re an experienced engineering leader who enjoys combining hands-on technical contribution with team leadership in a high-growth environment, apply today to learn more about this opportunity.

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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

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Senior Analytics Consultant
Location: UK Remote (1x month in London) | Salary: up to £60,000

This is an opportunity to join a highly commercial analytics function where data products directly influence business decisions. Rather than sitting within a traditional IT team, you will work closely with senior stakeholders to solve complex challenges, build scalable analytical solutions, and create products that deliver long-term value across the organisation.
The Company
They are a growing professional services organisation investing heavily in data and analytics to support strategic decision-making and business growth. Their analytics team operates as a business-embedded function, partnering directly with commercial and operational leaders to develop impactful solutions. With a flexible and distributed working model, they foster collaboration, ownership, and continuous improvement. The environment is fast-paced, varied, and focused on delivering practical outcomes rather than technical complexity for its own sake.
The Role
You will:

• Partner with senior stakeholders to translate complex business challenges into actionable analytical solutions.
• Own the end-to-end delivery of analytical products, from initial discovery through to deployment and adoption.
• Design and develop reusable frameworks, templates, libraries, and components that enable scalable delivery.
• Build analytical tools and applications using Python and modern data product development practices.
• Create solutions that are maintainable, configurable, and easily adopted by a wider team.
• Collaborate with both technical and non-technical audiences, communicating insights clearly and effectively.
• Contribute to development standards, governance processes, and best practices.
• Support and mentor colleagues through knowledge sharing, peer reviews, and technical guidance.

Your Skills & Experience
You will have:

• Strong commercial experience delivering analytical products from concept through to business adoption.
• Advanced Python development skills within analytics, data science, or decision-support environments.
• Experience building reusable tools, frameworks, or data products used by multiple stakeholders.
• Knowledge of technologies such as Python, Git, Azure DevOps, Docker, Terraform, Shiny for Python, Streamlit, Dash, R, or similar platforms.
• Excellent stakeholder management and communication skills.
• A consulting-style approach with the ability to work across varied business problems.
• Experience operating in fast-moving environments with changing priorities.
• Confidence working independently while collaborating effectively within distributed teams.

What They Offer

• The opportunity to work closely with senior decision-makers and influence business strategy.
• Exposure to a broad range of analytical challenges and high-impact projects.
• Clear opportunities to shape team standards, frameworks, and ways of working.
• Ongoing professional development and career progression within a growing analytics function.

How to Apply
If you are an experienced Analytics Consultant with strong Python expertise and a passion for building impactful data products, apply today to find out more about this exciting opportunity.

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DATA SCIENTIST – CUSTOMER ANALYTICS

London (Hybrid, 2 days per week) | Up to £65,000

Looking to broaden your data science experience across multiple industries? This is an opportunity to join a specialist analytics consultancy delivering end-to-end modelling projects for well-known organisations across sectors. You’ll combine hands-on data science with stakeholder engagement, working on projects that have real commercial impact.

The Company

They are a growing data and analytics consultancy with a strong focus on predictive modelling and customer analytics. With a collaborative team of experienced data professionals, they deliver advanced solutions using modern cloud and data platforms. Their project-based environment offers excellent exposure to a wide range of business challenges and industries.

The Role

• Develop predictive models to solve customer and commercial challenges
• Deliver projects across forecasting, customer segmentation, propensity modelling, and pricing analytics
• Build solutions using Python, SQL, Azure, and Databricks
• Present model outputs and insights to technical and non-technical stakeholders
• Work closely with clients and internal teams throughout the project lifecycle

Your Skills & Experience

• Strong commercial experience in data science and model development
• Advanced Python and SQL skills
• Experience building predictive, forecasting, segmentation, scorecard, or pricing models
• Experience working with stakeholders and communicating analytical findings
• Exposure to Azure and/or Databricks
• Consultancy experience is beneficial but not essential
• Strong academic background in a quantitative discipline

What They Offer

• Salary up to £65,000 depending on experience
• Hybrid working with 2 days per week in the London office
• Broad exposure to projects across multiple industries
• Strong technical environment focused on data science and modelling
• Clear opportunities for professional development and progression

How to Apply

Apply today to learn more about this Data Scientist opportunity.

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LEAD RISK REPORTING ANALYST
London (Hybrid) | Up to £85,000

This is an excellent opportunity to join a growing financial services business investing heavily in data, analytics, and reporting transformation. You’ll play a key role in portfolio and impairment analytics while helping modernise reporting capabilities through Power BI, automation, and the adoption of new technologies.

The Company

They are a well-established specialist financial services organisation with a strong track record of growth and profitability. Their analytics function is central to business decision-making, with dedicated teams across credit risk, IFRS 9 modelling, and validation.

The Role

• Deliver portfolio and impairment analytics to support credit risk decision-making
• Develop and enhance Power BI dashboards and reporting solutions
• Automate reporting and analytical processes to improve efficiency
• Generate insights into portfolio performance and credit trends
• Support the migration of reporting processes from SAS to modern BI tools
• Collaborate with stakeholders across Risk, Finance, and Analytics

Your Skills & Experience

• Strong commercial experience in credit risk, portfolio analytics, or impairment analytics
• Proven experience building Power BI dashboards from scratch
• Experience automating reporting and analytical processes
• Strong SAS and SQL skills
• Understanding of IFRS 9 and credit risk reporting
• Ability to communicate insights to both technical and non-technical stakeholders
• Collaborative approach and strong professional drive

What They Offer

• Salary up to £85,000 depending on experience
• Hybrid working
• Exposure to a large-scale reporting transformation programme
• Opportunity to shape the future BI and analytics capability of the function
• Clear scope for progression and increased responsibility

How to Apply

If you have a background in credit risk analytics and a passion for BI, reporting, and automation, please apply to find out more.

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