data & AI
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Senior Machine Learning Engineer

$140,000-$190,000

Overview
A growing healthcare-focused technology organisation is seeking a Senior Machine Learning Engineer to help expand and support enterprise AI and machine learning capabilities. This role combines machine learning engineering, MLOps, cloud infrastructure, and generative AI operations.
The ideal candidate has extensive experience deploying, monitoring, and scaling production machine learning systems and is comfortable supporting both traditional ML models and modern large language model (LLM) applications. This position is focused on operational excellence, reliability, scalability, and measurable business outcomes rather than research.
Key Responsibilities

• Machine Learning Engineering & Platform Development
• Design, build, and maintain production-grade machine learning systems.
• Deploy and support machine learning models in live environments.
• Develop scalable training and inference workflows.
• Improve system reliability, performance, and operational efficiency.
• Partner with data science teams to productionise models and analytics solutions.
• MLOps & Infrastructure
• Develop and maintain feature engineering pipelines.
• Build and enhance workflow orchestration solutions.
• Establish best practices for model deployment and lifecycle management.
• Implement monitoring, observability, and alerting frameworks.
• Support model governance and operational compliance requirements.
• Generative AI & LLM Operations
• Deploy and maintain applications powered by large language models.
• Monitor model performance, quality, and reliability.
• Optimise prompts, inference processes, and operational workflows.
• Support cloud-hosted foundation model services.
• Implement improvements that enhance model effectiveness and user experience.
• Business Impact
• Contribute to predictive and decision-support solutions within healthcare and life sciences domains.
• Support projects involving optimisation, forecasting, classification, and recommendation systems.
• Deliver scalable solutions that create measurable value for end users and stakeholders.

Required Qualifications

• Technical Skills
• Strong Python development experience.
• Advanced SQL proficiency.
• Hands-on experience with AWS cloud services.
• Experience with machine learning platforms such as SageMaker.
• Experience using cloud-based LLM and foundation model services.
• DBT experience.
• Workflow orchestration experience with Prefect or similar platforms such as Airflow.
• Experience
• Approximately 6+ years of Machine Learning Engineering experience.
• Proven experience deploying machine learning models into production.
• Experience supporting model training and inference workloads.
• Strong model monitoring and observability experience.
• Ownership of MLOps processes and production ML environments.
• Experience designing and maintaining feature engineering pipelines.
• Infrastructure-focused engineering mindset with strong software engineering practices.
• Healthcare industry experience is required, including familiarity with:
• Regulated environments.
• Compliance and security requirements.
• Model governance practices.
• Responsible AI considerations, including fairness and bias mitigation.
• Preferred Qualifications
• Experience building ML-powered products used by external customers.
• Experience supporting models after deployment in production environments.
• Exposure to both traditional machine learning and LLM-based applications.
• Strong communication and stakeholder management skills.
• Demonstrated ability to deliver measurable business results through machine learning solutions.

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Pricing Lead
Remote based within UK
£80,000 to £90,000

This is an excellent opportunity for a Pricing Lead to join a growing insurance business where pricing plays a central role in commercial decision-making. You’ll work in a highly visible position with the freedom to shape processes, influence strategy, and take ownership of key pricing capability across the organisation.

The Company
They are a specialist insurer operating within the UK personal lines market. With a modern, technology-driven approach and a strong focus on analytics, they have continued to grow while maintaining a lean and highly capable team. The business values innovation, autonomy, and collaboration, giving employees direct exposure to senior decision-makers and strategic initiatives.

The Role

• Own and develop pricing models, methodologies, and rating approaches across the portfolio.
• Lead enhancements to pricing processes and pricing infrastructure.
• Use Python to develop, refine, and monitor pricing models.
• Support rating engine development and deployment.
• Deliver analytics across pricing performance, underwriting, and portfolio management.
• Develop fraud analytics capabilities and integrate insights into pricing decisions.
• Partner with senior stakeholders to translate technical findings into commercial recommendations.
• Collaborate with teams across underwriting, technology, and the wider business.
• Help shape the future direction of pricing capability as the organisation continues to grow.

Your Skills & Experience

• Strong commercial experience in personal lines pricing, ideally motor insurance.
• Proven pricing modelling experience and understanding of rating methodologies.
• Strong Python skills for analytics and model development.
• Knowledge of pricing governance and the UK insurance market.
• Ability to work independently, influence stakeholders, and communicate technical findings clearly.
• Experience with fraud analytics or rating engine deployment is advantageous.

What They Offer

• Salary of £80,000 to £90,000.
• Annual bonus scheme.
• Flexible hybrid working with occasional meet-ups in London.
• Exposure to senior leadership and strategic business decisions.
• Broad remit spanning pricing, analytics, and fraud.
• Opportunity to shape a growing function and develop your career in a high-impact environment.
• Private medical insurance, life assurance, and generous holiday allowance.

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Product Analyst
£60,000 – £70,000 + benefits
Hybrid – Manchester (3x days per week)

This is an opportunity to join a highly regarded digital business that reaches millions of consumers every week. Sitting within a cross functional product environment, you will use data to shape customer experiences, influence product strategy, and drive measurable business outcomes. You will take ownership of key analytics initiatives while helping to develop best practice across a growing analytics community.

The Company
They are a leading consumer focused digital organisation with a strong technology and data driven culture. Their platform supports millions of users, helping customers research, compare, and make informed purchasing decisions.
Data plays a central role in decision making across the business, and analytics is deeply embedded within product development. They offer a collaborative environment where analysts work closely with Product, Engineering, Design, and Research teams to solve complex customer challenges.

The Role
As a Senior Data Analyst, you will:

• Partner with product teams to define success metrics and measurement frameworks
• Establish robust governance, monitoring, and reporting standards for key product areas
• Design and develop data products in collaboration with data and engineering teams
• Drive improvements to tracking and measurement capabilities across digital products
• Lead experimentation and A/B testing programmes, providing actionable recommendations
• Support product discovery by working alongside Design and User Research teams
• Influence senior stakeholders through clear, evidence based insights
• Identify opportunities to improve customer journeys, engagement, and product performance
• Mentor and support other analysts within the wider analytics community
• Contribute to the development of analytics frameworks, standards, and best practices

Your Skills & Experience

• Strong commercial experience within consumer facing digital product environments
• Experience analysing complex customer journeys and behavioural data
• Knowledge of experimentation methodologies and statistical inference techniques
• Familiarity with product analytics and user behaviour tracking tools, such as Google Analytics or similar platforms
• Advanced SQL skills and working knowledge of Python
• Understanding of ETL processes and core data engineering concepts
• Ability to translate complex analysis into clear business recommendations
• Experience delivering analytics projects within cross functional teams
• Proven capability in mentoring, coaching, or leading analysts
• Strong stakeholder management and communication skills

What They Offer

• Salary of £50,000 to £70,000
• Annual equity award equivalent to 10% of salary
• Hybrid working model with regular collaboration in the office
• Generous annual leave allowance plus bank holidays
• Competitive pension scheme
• Private medical insurance and wellbeing support services
• Enhanced family friendly benefits
• Additional savings and share scheme options
• Clear opportunities to influence strategy and progress your analytics career within a mature data environment

How to Apply
If you are an experienced Senior Data Analyst looking to make an impact in a product led, data driven organisation, please apply with your CV to discuss the opportunity further.

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Product Analyst
Up to £85,000 + Bonus
Hybrid – London (2x days per week)

This is an exciting opportunity to join a fast‑growing digital organisation where data sits at the heart of every decision. You will play a pivotal role in shaping how product teams understand user behaviour, influence product strategy, and unlock opportunities that drive measurable impact.

The Company
They are a consumer-focused digital business committed to creating meaningful experiences for their members. With a mission-driven culture and a period of rapid expansion, they are investing heavily in data, analytics, and experimentation. Collaboration, innovation, and continuous learning are central to how they operate. They offer a flexible hybrid environment with a strong focus on development and wellbeing.

The Role
* Use quantitative analysis and data storytelling to uncover user behaviours and inform product strategy.
* Generate hypotheses, support experiments, and identify new opportunities.
* Define and maintain key product metrics, ensuring clarity and alignment across teams.
* Build dashboards and self-serve tools that empower stakeholders.
* Conduct deep-dive analyses to influence strategic decisions.
* Contribute to shared knowledge and promote best practices across data teams.

Your Skills and Experience
* Strong commercial experience in analytical roles within digital products.
* Proficient in SQL and analytical tools such as Python or R.
* Skilled in dashboarding with tools like Looker, Tableau, or similar.
* Confident translating complex data into actionable insight for varied audiences.
* Curious, collaborative, and proactive in solving problems.

What They Offer
Competitive salary, hybrid working, comprehensive benefits, generous leave, wellbeing support, and a culture that champions growth.

How to Apply
To register your interest, send your CV or apply below.

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Senior Data Scientist

Hybrid – Leicester (1x day a week)

£75,000 – £85,000 + bonus

Looking to apply advanced machine learning in a highly commercial environment? This is an opportunity to join a data-driven organisation where analytics sits at the heart of strategic decision-making. You’ll work on innovative pricing and risk modelling challenges, helping shape how data and machine learning drive business performance.

The Company

They are a well-established consumer-focused organisation with a strong investment in data, analytics, and technology. Their data science function plays a critical role in driving commercial outcomes through advanced modelling and predictive analytics. With a collaborative culture and modern cloud-based technology stack, they offer an environment where innovation and experimentation are encouraged. You will work alongside talented data scientists, analysts, and engineers to deliver impactful solutions at scale.

The Role

As a Senior Data Scientist, you will develop advanced machine learning solutions that support pricing, risk assessment, and business performance.

Responsibilities include:

• Building and deploying predictive machine learning models across a range of commercial use cases
• Developing analytical tools to improve risk portfolio management and decision-making
• Creating innovative features and data assets to enhance model performance
• Identifying and evaluating new data sources that can drive commercial value
• Taking models through the full lifecycle from exploration and development to deployment, monitoring, and optimisation
• Partnering with stakeholders to define business problems and deliver effective solutions
• Working closely with Data Engineers, Data Scientists, Analysts, and other technical specialists
• Contributing to the adoption of emerging machine learning techniques and best practices

Your Skills & Experience

• Strong commercial experience delivering machine learning projects from discovery through to deployment and ongoing model management
• Expertise in Python and SQL
• Experience working with Azure Machine Learning and wider Azure cloud technologies
• Knowledge of version control tools such as Git
• Ability to translate complex business challenges into analytical solutions
• Strong stakeholder management and communication skills
• Experience working in cross-functional data and analytics environments
• Passion for innovation and applying new machine learning approaches to real-world challenges

What They Offer

• Competitive salary
• Annual bonus scheme
• Car allowance
• Private medical insurance
• Matched pension contributions
• Life assurance and income protection
• Hybrid and flexible working arrangements
• Generous annual leave allowance
• Health, wellbeing, and financial support benefits
• Ongoing learning, development, and career progression opportunities within a growing data science function

How to Apply

If you’re interested in this Senior Data Scientist opportunity, apply today to discuss how your experience aligns with the role.

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Location: Concord, CA (Hybrid)

Schedule: Approximately 3 days onsite per week

About the Company

We are a mission-driven financial services organization dedicated to helping individuals and families achieve long-term financial well-being. With a strong reputation for member service, innovation, and operational excellence, we leverage data and technology to make smarter business decisions, deliver exceptional customer experiences, and drive sustainable growth.

As the organization continues to invest in digital transformation, analytics has become a key strategic function supporting executive leadership, marketing, product development, operations, and long-term business planning.

About the Role

We are seeking a Senior Marketing Analyst to join a growing Business Intelligence & Analytics team. This individual will serve as a strategic partner to Marketing and senior leadership, transforming complex data into actionable insights that drive customer acquisition, product adoption, digital engagement, and overall business growth.

This is not a reporting-only role. We’re looking for someone who can go beyond dashboards and metrics to identify opportunities, answer critical business questions, and provide data-driven recommendations that influence decision-making.

The ideal candidate combines strong technical skills in SQL and business intelligence tools with expertise in marketing analytics, digital analytics, experimentation, and statistical analysis.

This role will play a key part in a major website initiative, helping shape measurement strategies, design tracking frameworks, and establish reporting that supports ongoing optimization efforts.

What You’ll Do

• Analyze marketing campaign performance and provide actionable recommendations to improve results
• Develop and automate reporting solutions, dashboards, and executive-level presentations
• Design and implement measurement frameworks for digital marketing and web analytics initiatives
• Partner with marketing stakeholders to evaluate acquisition, engagement, conversion, and retention performance
• Lead web analytics efforts related to website optimization and digital experience measurement
• Create and maintain Power BI dashboards and reporting solutions
• Perform attribution analysis and evaluate channel performance across digital marketing programs
• Design and analyze A/B tests and other experimentation programs
• Develop forecasting models and predictive analyses to support business and marketing initiatives
• Conduct customer, segmentation, churn, and lifetime value analyses
• Identify opportunities to automate reporting and improve analytical processes
• Present findings and recommendations to technical and non-technical stakeholders, including executive leadership
• Ensure data accuracy, integrity, and consistency across reporting environments

Must-Have Qualifications

• 5+ years of experience in analytics, marketing analytics, business analytics, or a related field
• Advanced SQL skills with the ability to write complex queries, build views, and develop analytical datasets
• Experience building dashboards and reports in Power BI (Tableau experience also considered)
• Strong background in marketing analytics and campaign performance measurement
• Experience with Google Analytics (GA4) or Adobe Analytics
• Knowledge of attribution methodologies and digital marketing measurement
• Experience analyzing paid media performance, customer acquisition metrics, and marketing ROI
• Strong understanding of statistics and quantitative analysis
• Hands-on experience designing and evaluating A/B tests or other experimentation frameworks
• Ability to translate complex findings into business recommendations
• Excellent communication and stakeholder management skills
• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Information Systems, Finance, or a related discipline

Nice-to-Have Qualifications

• Experience working within banking, credit unions, fintech, or financial services
• Knowledge of Azure cloud technologies and modern data environments
• Experience with forecasting, predictive modeling, churn analysis, or customer lifetime value modeling
• Experience supporting website redesigns, digital transformation initiatives, or tracking strategy implementations
• Familiarity with data warehousing concepts and modern analytics infrastructure
• Experience presenting analytical findings to executive leadership teams
• Exposure to startup or fast-paced, high-growth environments

What Success Looks Like

In this role, you’ll be successful if you:

• Identify opportunities that improve marketing performance and business outcomes
• Deliver insights that influence strategic decision-making
• Build scalable reporting solutions that reduce manual work
• Confidently recommend solutions rather than simply reporting metrics
• Effectively partner with marketing, operations, product, and executive stakeholders
• Balance multiple priorities while maintaining a high level of accuracy and quality

Compensation & Benefits

Base Salary: $131,000 – $164,000

Additional Benefits Include:

• Annual bonus opportunity
• Comprehensive medical, dental, and vision coverage
• 401(k) with employer contributions and immediate vesting
• Generous paid time off and sick leave programs
• Tuition reimbursement
• Student loan repayment assistance
• Life insurance and disability coverage
• Professional development opportunities

Work Environment

• Hybrid work model with approximately three days onsite per week
• Collaborative, highly visible position with exposure to executive leadership
• Opportunity to work on strategic, business-critical initiatives
• High-growth analytics function with significant influence across the organization

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Are you an architect who thrives on transforming complex data ecosystems into modern, intelligent platforms? We are partnering with a highly respected enterprise organization seeking a visionary AWS Data Architect to lead the evolution of its next-generation cloud data strategy.

This is a high-impact opportunity for an experienced architect who enjoys operating at both the strategic and technical levels, influencing enterprise-wide decisions, designing scalable cloud-native solutions, and leveraging emerging AI capabilities to create measurable business value.

You will play a pivotal role in defining the future-state architecture of a rapidly evolving data environment, driving modernization initiatives, and introducing innovative approaches that enable faster decision-making, improved customer experiences, and accelerated delivery across the organization.

Why This Opportunity Stands Out

• Own the vision and roadmap for a large-scale AWS data ecosystem.
• Influence executive-level technology strategy and architectural direction.
• Drive cloud-native modernization initiatives from concept through execution.
• Work with cutting-edge technologies including Agentic AI, Vector Databases, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).
• Build scalable, event-driven architectures utilizing real-time and streaming technologies.
• Establish enterprise architecture patterns that accelerate engineering productivity and innovation.
• Lead and mentor high-performing technical teams while shaping best practices across the organization.

What You’ll Be Doing

As the AWS Data Architect, you will serve as a trusted advisor and strategic leader responsible for designing and guiding the organization’s data transformation journey.

Key responsibilities include:

• Defining current-state, future-state, and transitional data architectures that support long-term business objectives.
• Developing strategic roadmaps that balance business value, risk, investment, and speed to market.
• Partnering with business and technology leaders to translate organizational priorities into scalable architecture solutions.
• Designing modern data platforms that support batch, near real-time, and real-time processing.
• Building and optimizing cloud-native data integration patterns across diverse source systems and applications.
• Architecting resilient, high-performance streaming platforms leveraging Apache Kafka and AWS-native services.
• Incorporating advanced AI capabilities including vector databases, Agentic AI frameworks, MCP, and RAG architectures to unlock new business opportunities.
• Championing infrastructure automation, CI/CD pipelines, and reusable architectural patterns that improve consistency and delivery velocity.
• Driving enterprise-wide best practices around data governance, security, quality, and lifecycle management.
• Providing architectural leadership, mentoring technical teams, and fostering a culture of innovation and continuous improvement.

Team Environment

You’ll join a highly collaborative, solution-oriented technology team that values innovation, knowledge sharing, and collective success. Team members are empowered to challenge conventional thinking, exchange ideas openly, and work together to solve complex business and technical challenges.

The culture encourages:

• Continuous learning and experimentation
• Cross-functional collaboration
• Technical excellence
• Mentorship and professional growth
• Innovation through emerging technologies

What We’re Looking For

Successful candidates will bring a blend of enterprise architecture expertise, cloud transformation experience, and a passion for modern data and AI technologies.

Preferred Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.
• 15+ years of experience designing and delivering enterprise data solutions and modern data architectures.
• Deep expertise building cloud-native platforms within AWS.
• Proven experience developing data frameworks, reference architectures, operating models, and enterprise-scale integration patterns.
• Strong experience with streaming architectures, data modeling, and modern data platform design.
• Demonstrated success leading large-scale modernization and transformation initiatives.
• Familiarity with emerging AI architectures, including Agentic AI, vector databases, MCP, and RAG frameworks.
• Experience influencing senior stakeholders and leading enterprise architecture decisions.
• TOGAF certification or equivalent enterprise architecture framework experience preferred.

Ideal Candidate Profile

We’re seeking a strategic architect who is excited by transformation, energized by innovation, and motivated by the opportunity to build what comes next. This individual combines deep technical expertise with business acumen, communicates effectively with executive stakeholders, and enjoys mentoring teams while delivering meaningful outcomes at enterprise scale.

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Business Analyst
London – hybrid 3x a week in office
Up to £80,000 + bonus

This is an opportunity to join a newly evolving transformation function at a time of significant investment in business change, process improvement, and AI-enabled innovation. You’ll play a key role in shaping how the organisation operates in the future, working across strategic transformation initiatives while helping turn innovative ideas into deliverable solutions.

The Company
They are a leading professional services organisation with a strong focus on transformation, operational excellence, and innovation. As part of a growing business transformation function, they are investing in new ways of working, process optimisation, and emerging technologies to improve business performance. The environment is collaborative, forward-thinking, and focused on delivering measurable business value through change. With a clear commitment to career development, they offer excellent opportunities for progression and continuous learning.

The Role
As a Business Analyst, you will work across a portfolio of transformation and innovation initiatives, partnering with stakeholders to identify opportunities, define solutions, and support strategic change.

Responsibilities include:

• Gathering, analysing, and documenting business requirements
• Facilitating workshops and stakeholder sessions to understand challenges and opportunities
• Mapping and improving business processes, workflows, and operating models
• Conducting root cause analysis and defining business problems
• Supporting governance activities, business cases, and benefits tracking
• Assessing opportunities for automation and AI-enabled process improvements
• Producing requirements documentation, process maps, user stories, and recommendations
• Working closely with project managers, technology teams, and business stakeholders to support delivery
• Supporting innovation initiatives from early discovery through to investment approval
• Presenting findings and recommendations to senior stakeholders

Your Skills & Experience

• Strong commercial experience as a Business Analyst within transformation, change, or strategic programmes
• Proven ability to gather requirements and engage effectively with stakeholders at all levels
• Experience facilitating workshops and leading discovery activities
• Strong process mapping and business process improvement expertise
• Experience introducing or working within governance frameworks
• Ability to work effectively in ambiguous and evolving environments
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Experience developing business cases, recommendations, and supporting documentation
• Professional services experience is welcomed but not essential
• Experience within banking is not required for this role

What They Offer

• Opportunity to work on business transformation, process automation, and AI-focused initiatives
• Exposure to senior stakeholders and strategic business decisions
• Clear progression pathway from Business Analyst to Senior Business Analyst
• Ongoing learning, development, and career growth opportunities

How to Apply
If you’re a Business Analyst who enjoys driving transformation, improving processes, and shaping future business operations, apply today to learn more about this opportunity.

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