The Data And AI Podcast

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Lead Machine Learning Engineer

This role is a senior-level position in data science, centered on applying machine learning to solve complex problems, drive project execution, and mentor team members. The successful candidate will lead and actively contribute to initiatives that leverage advanced analytics to deliver tangible, real-world outcomes.

Responsibilities

• Communicate data-driven insights and strategic recommendations to clients and internal stakeholders in a clear, actionable manner.
• Design and implement predictive models using advanced analytics, including techniques in machine learning, natural language processing (NLP), computer vision, and optimization.
• Oversee the full lifecycle of multiple data science projects, ensuring effective resource management, resolution of technical challenges, and streamlined code review processes.
• Provide mentorship and guidance to junior data scientists and analysts, supporting their technical growth and professional development.
• Contribute to business development activities by supporting proposal creation and demonstrating the value of data science capabilities to potential clients.
• Partner with data engineering teams to ensure seamless integration of analytics solutions within client environments.
• Collaborate with leadership to shape the roadmap for data science initiatives and ensure alignment with strategic objectives.

Required Experience

• Demonstrated experience in developing and evaluating machine learning and AI solutions within commercial or client-facing environments.
• Proficiency in Python or R, with hands-on application of supervised and unsupervised learning methods, as well as more advanced modeling techniques.
• Strong ability to distill complex technical findings into language that resonates with business audiences.
• Proven leadership in managing project teams and navigating challenges posed by large, unstructured, or messy datasets.
• Experience in consulting, proposal development, and strategic project planning.

To Apply for this Job Click Here

To Apply for this Job Click Here

Role: Full Stack Developer (C#/.NET)
Salary: £70,000 – £90,000 + bonus + benefits
Location: Central London – 5 days per week onsite

Overview

Our client is a high-performing, London-based investment management firm specialising in sports trading. Founded in 2007 and generating £6.11M in turnover last year, they operate globally across football, cricket, US sports, and more. With a flat structure, strong team retention, and a culture focused on autonomy, flexibility, and high impact, they’re now looking to expand their engineering function with two Full Stack Developers.

This is an opportunity to work on greenfield projects with real-world impact, building predictive modelling systems that power automated trading and investment strategies.

Key Responsibilities

• Design, build, and maintain full-stack software solutions in C#/.NET
  * Develop predictive models for real-time sports trading and analysis
  * Contribute to greenfield product development with autonomy and ownership
  * Collaborate across a highly technical team with strong mathematical expertise
  * Solve complex, data-driven problems that have immediate business impact
  * Support system integration, testing, and deployment processes

Ideal Candidate

• 5-10 years of software engineering experience
  * Strong proficiency in C# and the .NET platform
  * Solid foundation in mathematics, statistics, or quantitative problem-solving
  * Experience with SQL Server, Oracle, or similar RDBMS
  * Comfortable working in a fast-paced, collaborative environment
  * Excellent communication skills; fluency in English
  * Passion or interest in sports (sports trading background not required)
  * Strong tenure and track record of mastery in a domain

Nice to Have

• Experience with JavaScript frameworks (e.g., React)
  * Network programming (TCP/UDP)
  * Multi-threaded application development
  * Familiarity with version control tools (PlasticSCM, Git, etc.)
  * Exposure to Windows-based technologies

Tech Stack / Tools

• C# / .NET (latest versions)
  * SQL Server
  * ASP.NET
  * React (optional)
  * TCP/UDP protocols
  * Git, PlasticSCM

Benefits

• Bonus (paid twice yearly, tied to personal performance)
  * Pension scheme
  * Private health insurance
  * Gym membership (with work-hour access up to twice a week)

To Apply for this Job Click Here

To Apply for this Job Click Here

Role: Senior Full Stack Developer (C#/.NET)
Salary: £90,000 – £130,000 + bonus + benefits
Location: Central London – 5 days per week onsite

Overview

Our client is a high-performing, London-based investment management firm specialising in sports trading. Generating £6.11M in turnover last year, they operate globally across football, cricket, US sports, and more. With a flat structure, strong team retention, and a culture focused on autonomy, flexibility, and high impact, they’re now looking to expand their engineering function with two Full Stack Developers.

This is an opportunity to work on greenfield projects with real-world impact, building predictive modelling systems that power automated trading and investment strategies.

Key Responsibilities

• Design, build, and maintain full-stack software solutions in C#/.NET
  * Develop predictive models for real-time sports trading and analysis
  * Contribute to greenfield product development with autonomy and ownership
  * Collaborate across a highly technical team with strong mathematical expertise
  * Solve complex, data-driven problems that have immediate business impact
  * Support system integration, testing, and deployment processes

Ideal Candidate

• 5-10 years of software engineering experience
  * Strong proficiency in C# and the .NET platform
  * Solid foundation in mathematics, statistics, or quantitative problem-solving
  * Experience with SQL Server, Oracle, or similar RDBMS
  * Comfortable working in a fast-paced, collaborative environment
  * Excellent communication skills; fluency in English
  * Passion or interest in sports (sports trading background not required)
  * Strong tenure and track record of mastery in a domain

Nice to Have

• Experience with JavaScript frameworks (e.g., React)
  * Network programming (TCP/UDP)
  * Multi-threaded application development
  * Familiarity with version control tools (PlasticSCM, Git, etc.)
  * Exposure to Windows-based technologies

Tech Stack / Tools

• C# / .NET (latest versions)
  * SQL Server
  * ASP.NET
  * React (optional)
  * TCP/UDP protocols
  * Git, PlasticSCM

Benefits

• Bonus (paid twice yearly, tied to personal performance)
  * Pension scheme
  * Private health insurance
  * Gym membership (with work-hour access up to twice a week)

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Digital Product Analyst
Up to £65,000 + Benefits
Oxford Circus – 4 days a week in-office (including Mondays & Fridays – no flexibility)

We’re working with a major UK retail group that’s rapidly expanding its brand portfolio and investing heavily in digital transformation. They’ve recently migrated to Google Cloud Platform and are continuing to build out a robust Analytics function.

As part of this growth, they’re hiring a Senior Digital Product Analyst to join their Product Analytics team. This is a high-impact role focusing on digital journey analysis, site performance, and optimisation opportunities across a diverse retail portfolio.

You’ll need:

• Proven experience in digital/product analytics – not marketing-focused

• Strong SQL & BigQuery skills

• GA4 (or Adobe Analytics) expertise

• Comfort working with GTM/implementation teams

• Some A/B testing exposure

You’ll report directly to the Analytics Lead, within a growing and well-supported data team. If you’re keen to drive change and own the end-to-end product analytics process in a fast-moving retail environment – this is for you.

Interview process:

• 30-min intro interview

• Technical screen with Analytics leadership

• Final on-site with task + key stakeholders – quick turnaround

Apply now to be part of a business that’s scaling fast, with data at the heart of its strategy.

To Apply for this Job Click Here

To Apply for this Job Click Here

Analytics Manager

Location: Hybrid (2-3 days/week in Trowbridge)
Salary: Up to £55,000 + benefits

Are you passionate about data and solving real-world business problems? Our client, a well-established multinational food business, is seeking a hands-on Analytics Manager to join their high-performing data team.

About the Role

This role sits within the Forensic Analytics function – focused on deep-dive analysis and strategic problem-solving. You’ll work across international B2B and D2C markets, delivering actionable insights on key business questions like:

• “Why are sales dropping in this category?”

• “How can we improve logistics efficiency?”

• “Is 350 products the right number for our portfolio?”

You’ll collaborate with stakeholders, shape analytics roadmaps, and lead projects from data exploration to insight delivery.

Key Responsibilities

• Define analytical approaches to tackle business challenges

• Identify and explore relevant data sources

• Deliver clear, insight-driven storytelling using visualisation tools

• Analyse marketing campaign performance (MMM, attribution, ROI)

• Support commercial strategy through segmentation and customer insights

What We’re Looking For

• Strong SQL and data visualisation skills (e.g. Tableau, Power BI)

• 3+ years in marketing or commercial analytics

• Experience with campaign analysis and business performance insight

• Excellent communication and stakeholder management

• Bonus: Python experience or a consulting background

Why Join?

• Join a data-rich, insight-driven organisation with a strong ethical mission

• Work within a team of 16 data professionals, reporting to a senior leader with 1 direct report

• Exposure to both operational and strategic analytics challenges across international markets

Benefits

• 25 days holiday + bank holidays (with option to buy more)

• Discretionary bonus scheme

• Matched pension contributions (up to 4%)

• Life assurance

• Free on-site parking & subsidised canteen

• Staff perks & discount scheme (tech, retail, lifestyle)

• Free Christmas gift (turkey or voucher)

Interview Process

• Stage 1: Video interview with VP of Data

• Stage 2: In-person interview with senior leadership

• Stage 3: Stakeholder interviews (cross-functional assessment)

• Includes verbal and numerical reasoning assessments

If you’re ready to turn data into business value – apply today.

To Apply for this Job Click Here