We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

• Sky Q, for the TV you love all in one place
• The magic of Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Your new company
One of the large Public Sector Organisations in the UK
Your new role
Data Modeller - Excel Calculator
What you’ll need to succeed
My client is looking for a Data Modeller to support across a 4-week period before the end of the Financial Year - the role will entail developing two user-friendly Excel-based calculators:

• Excel calculator development
• Develop two user-friendly, Excel-based calculators for quantifying the nutrient reductions (in nitrogen and phosphorus) generated by:
• Land Use Change - the conversion of land from uses associated with high nutrient exports (intensive agriculture) to uses associated with low nutrient exports (semi-natural greenspace).
• Septic tank and PTP Upgrades - upgrading inefficient septic tanks or PTPs to more efficient PTP models. Natural England will provide a draft version of this calculator to be updated.
• Use input datasets that have been provided by Natural England. These will include nutrient export coefficients derived from Farmscoper, soil type, and rainfall.
• Provide precautionary nutrient reduction estimates (in kg of total nitrogen and total phosphorus/ha/year) based on a methodology specified by Natural England.
• Ensure the calculators enable changes to input datasets that can be administered by Natural England in the future.
• Written technical methodology
• Document the methodology for calculating the nutrient reductions generated by the two measures in a format that ensures reproducibility by Natural England.
• Detail all assumptions, limitations, and uncertainties.
• User instructions
• Write a set of clear user instructions to accompany each calculator that:
• Provide step-by-step guidance for the user to input site-specific information.
• Explain technical terms in plain, accessible language.
• Follow Natural England’s accessibility requirements.

By the end of the four-week period, the Data Analyst will provide:

• One calculator for quantifying the nutrient reductions generated by land use change.
• One updated calculator for quantifying the nutrient reductions generated by septic tank and PTP upgrades.
• Each calculator will be accompanied by:
• Clear, step-by-step user instructions that meet Natural England’s accessibility standards.
• Technical methodology to ensure reproducibility by Natural England. Including assumptions, uncertainties, and limitations.

What you’ll get in return
This is a 4-week remote engagement for someone to set up Excel Calculators, aiding the new FY.
What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)

Junior Data Scientist

Stealth AI Fintech Startup | London | Hybrid (3 days on-site)

We’re hiring on behalf of an early stage AI fintech building a platform that is redefining how investors analyse, access, and manage alternative assets (private equity, private credit, and broader private markets).

They’ve built their MVP, raised funding from experienced fintech founders and senior financial services operators, and are now scaling a product at the intersection of AI, automation, and investment workflows.

We’re looking for a high-potential Junior Data Scientist who wants to build production AI systems - not just models in notebooks.

The Role

We’re seeking an Applied AI&Data Scientist who thrives in a hands-on, experimental environment. You’ll help design, build and deploy AI models that form the backbone of the investment intelligence platform, from data processing and model training to inference and automation workflows.

This is ideal for someone who builds fast, iterates relentlessly, and learns even faster and has a genuine passion for AI frameworks, LLMs, and the next wave of intelligent automation

What You’ll Be Doing

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Designing and prototyping LLM-powered workflows (RAG, embeddings, agentic systems)

*

Cleaning and structuring complex, real-world datasets

*

Building and deploying production-grade ML/AI services

*

Contributing to evaluation, monitoring, and model performance improvements

*

Researching and implementing emerging AI approaches where they create practical value

What We’re Looking For

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BSc/MSc (2:1+) in Computer Science, Mathematics, Data Science, or related STEM

*

Strong Python skills

*

Experience with PyTorch, TensorFlow, or JAX

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Practical experience applying LLMs to real problems

*

Broader ML exposure (e.g. tree-based models, deep learning fundamentals)

*

Familiarity with vector databases and RAG pipelines]

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Experience deploying models via APIs (e.g. FastAPI)

*

Solid understanding of GCP and containerised environments (Docker)

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High ownership mindset; you prototype, test, and improve independently

*

Right to work in the UK (no sponsorship)

Nice to Have

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Experience with agentic frameworks (LangGraph, CrewAI, AutoGPT)

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Fine-tuning or structured model evaluation experience

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Understanding of transformers and embeddings

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Exposure to financial data or fintech systems

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Contribution or Interest in open-source or research side projects

Why Join

*

Build applied AI in a high-value, complex domain

*

Ship quickly in a well-funded early-stage startup

*

Work directly with an experienced CTO

*

Gain real ownership and technical depth early in your career

*

Join at an inflection point as the product scales

Certain Advantage are recruiting on behalf of our Trading client for an AI Engineer on a contract basis for 6-12 months initially in London. This will require some onsite days in Central London during the week. We are seeking Engineers skilled in python with a strong focus on GenAI AI and LLMs to lead the integration of cutting-edge language technologies into real-world applications. If you’re someone passionate about building scalable, responsible, and high-impact GenAI solutions then this could be for you! We’re looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control. Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document summarisation, Q&A, content generation. To help make your application as relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise dataMLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards A/B Testing: Experience evaluating GenAI features in production environments Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Job Title: Lead Product Analyst
Salary + Benefits: £90,000 to £115,000 base salary, Up to 30% annual bonus, Up to 30% share options
Location: London 3 days per week onsite

The Client
WeDo is partnering with one of the UK’s most exciting scale up fintech businesses. Founded in the late 2010s, the company has grown from early stage start up to multi million customer platform, reshaping how consumers pay and manage their money.

Operating at the intersection of debit, credit and rewards, the business combines innovative product thinking with disciplined risk management. With strong backing, ambitious growth plans and a customer base in the millions, they are entering their next phase of product expansion.

This hire sits at the centre of that growth journey.

The Role
This is a senior leadership position within Product Analytics, aligned to one of two core product domains.

You will manage 2 Product Analysts, while remaining deeply hands on. The split is approximately 60% individual contributor and 40% team leadership.

You will partner closely with Product, Credit Risk, Finance and Marketing, ensuring analytics is not simply reporting performance but actively driving commercial strategy.

The Responsibilities

• Lead the product insights function covering customer spend behaviour, issuing, acquiring and repayment management
• Translate complex behavioural and financial data into actionable product recommendations
• Identify headroom in customer spend and optimise revenue, retention and risk trade offs
• Design and implement robust experimentation frameworks including A/B testing and post launch impact measurement
• Define and maintain company level metrics in partnership with Data Platform teams, contributing to a clear single source of truth
• Evaluate success of major product initiatives
• Influence senior stakeholders and embed data driven decision making across product and commercial teams
• Mentor and develop two Product Analysts, setting standards for technical excellence and commercial thinking

Requirements

• 6+ years experience in product analytics within a high growth or scale up environment
• 2+ years experience leading or mentoring analysts
• Advanced SQL skills and strong Python capability
• Deep experience in customer segmentation, experimentation design and data modelling
• Strong commercial acumen with the ability to articulate credit risk trade offs and revenue impact
• Background in payments, credit, subscription or regulated financial services environments preferred
• Ability to operate strategically while remaining technically hands on
• Excellent stakeholder management and communication skills

Recruitment Process
Stage 1 - 30 minute video call with the Manager focusing on experience, motivation and cultural alignment

Stage 2 - Two 45 minute interviews
1 technical deep dive
1 commercial and product mindset discussion

Stage 3 - Logic and reasoning session with the team.

Stage 4 - Onsite interview focused on cultural fit

Ready to Apply?
Send your CV to (url removed)

Your new company Working for a globally renowned consultancy (end client is a public sector organisation). Your new role We are offering an exciting opportunity for a Data Scientist to join our expanding AI delivery team. In this role, you will work hands-on as an AI engineer, data scientist, and developer, contributing to the design and delivery of strategic AI initiatives. You'll help build intelligent solutions, automate processes, and apply modern AI technologies to real business challenges within a public sector environment. What you'll need to succeed Must have lived in the UK for a minimum of 5 years (essential for security clearance checks). Experience with key AI platforms and tools, including: Microsoft Copilot / Copilot Studio Experience configuring or building AI-driven workflows, copilots, or automation solutions. Familiarity with prompt design, data integration, and governance within the Microsoft ecosystem is beneficial. AWS Bedrock Hands-on experience using Bedrock to access and apply foundation models for tasks such as text generation, summarisation, classification, or search. Understanding how to integrate Bedrock models into wider AWS services is advantageous. IBM ICA (Intelligent Content Analysis) - Desirable Useful experience with document understanding, processing unstructured data, and rule‑based or AI‑assisted content analysis. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Remote- UK 6-month contract with Potential Extension Day rate - £427.68 - £565 per day Inside IR35 Data Scientist (NLP & LLM Specialist) Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML). NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting. Industry Knowledge: Experience with Risk Modeling or financial services is preferred.This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy

In short: A high-growth fintech is looking to bring on a Senior AI Engineer to build and ship production-grade scam intelligence that runs before payments clear. You’ll turn multi-source signals (transaction context, counterparty intelligence, behavioural patterns, unstructured evidence) into reliable, explainable risk decisions - under real-world constraints like latency, uptime, and auditability. About the company: The company is building a payment intelligence layer for banks - running real-time “investigations” on payments to provide rich context on the counterparty and situation. The goal: intercept scams while ensuring genuine payments flow smoothly. They’re early-stage, moving fast, and working on problems where correctness, security and reliability are non-negotiable. Who we’re looking for You’re a hands-on ML/AI builder who’s comfortable owning the full loop: data → modelling → deployment → monitoring → iteration. You care about practical decisioning (not just metrics), you’re thoughtful about trade-offs (customer experience vs protection), and you’re excited about building systems that are explainable and bank-grade. What you’ll do - Build and ship scam risk models and signals (typology classification, risk scoring, decision logic) - Engineer features across heterogeneous data: transaction context, behavioural sequences, counterparty signals, network/graph patterns, and unstructured evidence - Design calibrated outputs (scores + reason codes) that are actionable and explainable for banking workflows - Own evaluation end-to-end: leakage avoidance, cost-sensitive metrics, thresholding, phased rollouts, and post-incident learning - Productionise ML: packaging, deployment, monitoring, drift detection, and retraining strategies - Collaborate closely with backend/product teams to integrate intelligence into real-time payment flows - Work alongside agent/LLM workflows for evidence gathering and synthesis, while keeping the decision core predictable and auditable Must-haves: - Strong experience shipping applied ML into production (not just experimentation) - Strong Python + ability to write maintainable, tested code - Strong SQL + comfort working directly with messy, high-volume data - Solid modelling judgement: calibration, leakage, bias, thresholding, cost trade-offs, monitoring/drift - Experience building decisioning systems where reliability, latency, and explainability matter Nice-to-haves: - Experience in fraud/scams, payments, risk, trust & safety, AML, or adjacent domains - Familiarity with graph/network features and entity resolution style problems - Experience with MLOps tooling (model registry/MLflow, feature stores, orchestration) - Comfort with cloud-native/event-driven systems and working closely with platform/backend engineers - Experience integrating unstructured signals (text/embeddings/RAG style pipelines) into decision systems Why join - Work on a mission with real-world impact: stopping scams before money leaves - Build real-time, bank-grade ML systems with ownership end-to-end - Early team + high autonomy + meaningful technical decisions

In short: A high-growth fintech is looking to bring on a Senior Data Scientist to build and ship production-grade scam intelligence that runs before payments clear. You’ll turn multi-source signals (transaction context, counterparty intelligence, behavioural patterns, unstructured evidence) into reliable, explainable risk decisions - under real-world constraints like latency, uptime, and auditability. About the company: The company is building a payment intelligence layer for banks - running real-time “investigations” on payments to provide rich context on the counterparty and situation. The goal: intercept scams while ensuring genuine payments flow smoothly. They’re early-stage, moving fast, and working on problems where correctness, security and reliability are non-negotiable. Who we’re looking for You’re a hands-on ML/AI builder who’s comfortable owning the full loop: data → modelling → deployment → monitoring → iteration. You care about practical decisioning (not just metrics), you’re thoughtful about trade-offs (customer experience vs protection), and you’re excited about building systems that are explainable and bank-grade. What you’ll do - Build and ship scam risk models and signals (typology classification, risk scoring, decision logic) - Engineer features across heterogeneous data: transaction context, behavioural sequences, counterparty signals, network/graph patterns, and unstructured evidence - Design calibrated outputs (scores + reason codes) that are actionable and explainable for banking workflows - Own evaluation end-to-end: leakage avoidance, cost-sensitive metrics, thresholding, phased rollouts, and post-incident learning - Productionise ML: packaging, deployment, monitoring, drift detection, and retraining strategies - Collaborate closely with backend/product teams to integrate intelligence into real-time payment flows - Work alongside agent/LLM workflows for evidence gathering and synthesis, while keeping the decision core predictable and auditable Must-haves: - Strong experience shipping applied ML into production (not just experimentation) - Strong Python + ability to write maintainable, tested code - Strong SQL + comfort working directly with messy, high-volume data - Solid modelling judgement: calibration, leakage, bias, thresholding, cost trade-offs, monitoring/drift - Experience building decisioning systems where reliability, latency, and explainability matter Nice-to-haves: - Experience in fraud/scams, payments, risk, trust & safety, AML, or adjacent domains - Familiarity with graph/network features and entity resolution style problems - Experience with MLOps tooling (model registry/MLflow, feature stores, orchestration) - Comfort with cloud-native/event-driven systems and working closely with platform/backend engineers - Experience integrating unstructured signals (text/embeddings/RAG style pipelines) into decision systems Why join - Work on a mission with real-world impact: stopping scams before money leaves - Build real-time, bank-grade ML systems with ownership end-to-end - Early team + high autonomy + meaningful technical decisions - London hybrid working + visa sponsorship available

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client’s team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers.
The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.

This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.

Skills required:

• Proficient in several of the following: Python, C#, C++, Java
• Mathematical Modelling
• Mathematical skills, particularly a keen understanding of probabilities and statistics
• Analytic mindset
• Strong communication skills
• Accuracy and attention to detail
• Experience in data science
• An interest in sports - Ideally football or cricket

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Responsibilities

• Research and analyse trading outcomes to assess effectiveness of execution strategies
• Build and refine quantitative models to improve algorithmic trading performance
• Implement elements of trading logic in Python and work closely with engineering teams
• Partner with clients to explain model behaviour, review performance and gather feedback
• Support clients in an execution consulting capacity to optimise use of trading products

Key Skills & Experience

• Strong quantitative mindset with passion for data and research
• Strong Python development skills (Java exposure beneficial but not core)
• Experience with electronic trading strategies and market microstructure
• Knowledge of European equities markets
• Exposure to distributed systems and large-scale data analysis desirable
• Excellent communication skills; able to work with global teams and clients
• High-frequency trading experience advantageous

Permanent role - Central London based - hybrid working

By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.

Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client’s team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers.
The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.

This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.

Skills required:

• Proficient in several of the following: Python, C#, C++, Java
• Mathematical Modelling
• Mathematical skills, particularly a keen understanding of probabilities and statistics
• Analytic mindset
• Strong communication skills
• Accuracy and attention to detail
• Experience in data science
• An interest in sports - Ideally football or cricket

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed)

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Trainee Data Analyst - No Experience Needed

Build a future-proof career in Data & AI - starting today.

Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it.

Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you’re ready to break into tech but don’t know where to start? ITOL Recruit’s Data Analyst Career Programme is designed to take you from complete beginner to employable Data Analyst.

Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities.

Please note this is a training course and fees apply.

Job guaranteed - complete the programme and get a job or get your money back.

Our graduates earn £30,000-£65,000+.

Why Data?

Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy.

Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Analyst - £60,000
• Data Scientist - £65,000+

If you’re detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you.

How It Works

Step 1 - Data Administration & Core Tools

Build essential, job-ready skills with practical training in:

• Microsoft Excel (to expert level)
• SQL - Extracting and querying data from databases
• Python 3 - One of the most widely used languages in data analysis
• Tableau - Creating dashboards and data visualisations

Study time: Approximately 30-60 hours

Assessment: Course completion (no formal exam)

You’ll gain hands-on experience using the same tools employers expect Data Analysts to know.

Step 2 - CompTIA Data+ Qualification

Earn the internationally recognised CompTIA Data+ certification.

This qualification covers:

• Data mining
• Data manipulation
• Data visualisation
• Reporting and interpretation

Study time: 30 hours

Assessment: 1-hour professional exam

You’ll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam.

Step 3 - Business Analysis Foundation (BCS Accredited)

Data Analysts and Business Analysts work closely together - and many professionals move between both roles.

You’ll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT).

Study time: 15 hours

Assessment: Online exam

This increases your employability and broadens your career options.

Step 4 - Recruitment Support

Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role.

You’ll receive:

• Full CV review tailored to your new qualifications
• Job application support
• Mock interviews
• Ongoing career guidance
• Access to roles suited to your profile

Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities.

Ready to Start?

If you’re analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we’ll help you take that first step.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Description
Join us, be part of more.

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We’re energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it and mend it.

About your team:

At Centrica Energy, our mission is to move it.

We’re energy movers by nature. We’re a global renewable energy trading company which helps move energy from source to use - powering businesses, homes, and societies as they transition to a new sustainable energy future. If the idea of working to create a sustainable energy future also moves you, we may very well be the right place for you.

The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for:

• Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk
• Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions
• Assisting originators in development of structured products across the Renewables, LNG, Gas & Power sectors.

As a Senior Quantitative Developer you will become part of an agile team of circa 10 people located across our offices in both London (UK) and Aalborg (Denmark), with a broad remit to support the development, and use of, our pricing and risk management models and systems. As well as consulting on software design, systems architecture and software engineering practices.

This role will be situated in our London or Aalborg office and the successful candidate will be required to:

• Produce high quality increments to the team’s model library - working both individually and collaboratively.
• Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation.
• Provide support to Trading & Origination on model usage and behaviour.
• Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency.

Here’s what we’re looking for:

• Master’s Degree or PhD qualification within science, computing, mathematics or other quantitative subject.
• Solid experience of code development in Python, including:
  • Experience developing in an Agile environment
  • Use of math/stats & testing libraries, as well as modern build tools.
  • Ability to refactor code and work effectively with legacy systems.
• Knowledge of Object Orientation, Software Architecture and Design Patterns.
• Good understanding of software testing practices (unit testing, integration testing, etc.). Knowledge of TDD and BDD is a strong plus.
• Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable.
• Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems.
• Familiarity or high level of interest in Energy / commodity markets.
• Strong Communicator and fluent in English language.
• Strong interpersonal skills.

#LI-CET

Why should you apply?

We’re not a perfect place - but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

https://www.morethanacareer.energy/centricaenergy

If you’re full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

£150,000 GBP

• performance bonus + internal fund investment
  Onsite WORKING
  Location: Central London, Greater London - United Kingdom Type: Permanent

My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan.

Description

– Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets.

– Required: experience training ML models end to end (from data processing to fine tuning), experience training across transformers / generative models / RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions / industry experiences.

– Positives but not requirement: PhD.

Reference: AMC/AHU/NW/SPH001

#alhu

Junior Data Scientist Stealth AI Fintech Startup | London | Hybrid (3 days on-site) We’re hiring on behalf of an early stage AI fintech building a platform that is redefining how investors analyse, access, and manage alternative assets (private equity, private credit, and broader private markets). They’ve built their MVP, raised funding from experienced fintech founders and senior financial services operators, and are now scaling a product at the intersection of AI, automation, and investment workflows. We’re looking for a high-potential Junior Data Scientist who wants to build production AI systems - not just models in notebooks. The Role We’re seeking an Applied AI&Data Scientist who thrives in a hands-on, experimental environment. You’ll help design, build and deploy AI models that form the backbone of the investment intelligence platform, from data processing and model training to inference and automation workflows. This is ideal for someone who builds fast, iterates relentlessly, and learns even faster and has a genuine passion for AI frameworks, LLMs, and the next wave of intelligent automation What You’ll Be Doing * Designing and prototyping LLM-powered workflows (RAG, embeddings, agentic systems) * Cleaning and structuring complex, real-world datasets * Building and deploying production-grade ML/AI services * Contributing to evaluation, monitoring, and model performance improvements * Researching and implementing emerging AI approaches where they create practical value What We’re Looking For * BSc/MSc (2:1+) in Computer Science, Mathematics, Data Science, or related STEM * Strong Python skills * Experience with PyTorch, TensorFlow, or JAX * Practical experience applying LLMs to real problems * Broader ML exposure (e.g. tree-based models, deep learning fundamentals) * Familiarity with vector databases and RAG pipelines] * Experience deploying models via APIs (e.g. FastAPI) * Solid understanding of GCP and containerised environments (Docker) * High ownership mindset; you prototype, test, and improve independently * Right to work in the UK (no sponsorship) Nice to Have * Experience with agentic frameworks (LangGraph, CrewAI, AutoGPT) * Fine-tuning or structured model evaluation experience * Understanding of transformers and embeddings * Exposure to financial data or fintech systems * Contribution or Interest in open-source or research side projects Why Join * Build applied AI in a high-value, complex domain * Ship quickly in a well-funded early-stage startup * Work directly with an experienced CTO * Gain real ownership and technical depth early in your career * Join at an inflection point as the product scales

Data & AI Product Lead

London Hybrid Permanent
Up to £110,000

VIQU have partnered with a leading insurance organisation seeking a Data & AI Product Lead to shape and drive their UK&I data and AI product strategy. As a Data & AI Product Lead, you will define the vision, roadmap, and operating model for a growing data product ecosystem, working closely with underwriting, pricing, claims, risk, data science, and engineering teams to deliver scalable, high value data and AI products aligned to commercial outcomes. This Data & AI Product Lead role offers genuine enterprise level influence and strategic ownership across the organisation.

Key Responsibilities:

• Define and drive the data and AI product strategy as a Data & AI Product Lead, aligned to business and data objectives.
• Develop and maintain comprehensive product roadmaps and a target data product catalogue.
• Partner with underwriting, pricing, claims, risk, data science, and technology teams to identify opportunities and prioritise initiatives.
• Own the end to end lifecycle of data and AI products from ideation through to deployment and continuous optimisation.
• Establish and embed a clear data product operating model and governance framework.
• Define KPIs and ROI measures to track performance, adoption, and commercial impact.
• Engage senior stakeholders, translating complex data and AI concepts into clear business value.
• Ensure regulatory compliance and high standards of data quality and integrity.

Key Requirements:

• Proven experience as a Data & AI Product Lead, Senior Data Product Manager, or similar end to end product ownership role.
• Strong insurance domain knowledge across pricing, underwriting, claims, and risk.
• Demonstrable experience defining product strategy, roadmaps, prioritisation frameworks, and value measurement.
• Practical knowledge of cloud data platforms such as Azure and Databricks, with the ability to engage engineering teams credibly.
• Experience establishing governance frameworks for data products, ensuring regulatory compliance and data integrity.
• Strong executive level stakeholder management and communication skills.
• Strategic, structured thinker able to operate in ambiguity and drive clarity at pace.

Data & AI Product Lead

London Hybrid Permanent
Up to £110,000

Apply today to speak with VIQU in confidence or contact Belle Hegarty at (url removed).
Know someone exceptional for this Data & AI Product Lead position? Refer them and receive up to £1,000 if successful terms apply.
Follow us on LinkedIn IT Recruitment for more exciting opportunities.

Job Specification: Data Scientist – Pricing Modelling (Sport) Overview We are seeking a highly skilled Data Scientist with proven experience in pricing modelling within the sports industry. The ideal candidate will be responsible for building, optimising, and deploying data-driven pricing models that help maximise revenue, improve forecasting accuracy, and support strategic commercial decisions. This role will work closely with commercial, product, finance, and analytics teams to deliver impactful insight and pricing recommendations. Key Responsibilities Pricing Modelling & Analytics - Develop, own, and optimise dynamic pricing models across sports products (tickets, memberships, hospitality, broadcasting, merchandise, or gaming—depending on organisation). - Build predictive models for demand forecasting, elasticity analysis, and customer behaviour. - Run simulations and scenario modelling to guide pricing strategy. - Maintain model accuracy through performance monitoring, retraining, and back-testing. Data Science & Engineering - Work with large datasets from multiple sources including ticketing systems, CRM data, sales systems, attendance data, and third-party partners. - Build robust data pipelines and ensure high data quality and reproducibility. - Deploy models into production environments (e.g., via APIs, automated workflows, or BI tools). Insight & Strategy - Translate modelling outputs into clear commercial recommendations for non-technical stakeholders. - Present findings to senior leadership, supporting decision-making with evidence-based insight. - Collaborate with marketing and commercial teams to understand demand drivers and pricing levers. - Evaluate the impact of pricing changes and provide post-event analysis. Innovation - Explore new modelling techniques such as reinforcement learning, dynamic optimisation, or real-time price adjustment. - Stay current with trends in sports analytics, pricing science, machine learning, and demand forecasting. Required Skills & Experience - 3+ years in data science, analytics, or econometrics roles (pricing strongly preferred). - Strong experience with pricing models, demand forecasting, price elasticity, or dynamic pricing algorithms. - Proficiency in Python (Pandas, NumPy, Scikit-Learn; bonus: PyTorch/TF). - Experience using SQL and working with relational databases or cloud data warehouses. - Solid statistical knowledge: regression modelling, time series forecasting, Bayesian methods, optimisation techniques. - Experience deploying models to production (e.g., Docker, cloud platforms, CI/CD pipelines). - Ability to design and interpret A/B tests or controlled experiments. - Excellent stakeholder communication skills, especially with commercial teams. Desirable Skills - Experience in the sports industry (ticketing, memberships, fan behaviour, sports betting, E-commerce). - Familiarity with sports-specific datasets or pricing environments. - Knowledge of BI tools (e.g., Looker, Power BI, Tableau). - Understanding of revenue management principles (yield management, inventory controls). - Background in applied mathematics, economics, statistics, or a related field. Personal Attributes - Commercially minded with a passion for applying data science to real business problems. - High attention to detail with strong analytical rigour. - Able to manage multiple projects and work in fast-paced environments. - Curious, proactive, and comfortable challenging assumptions with data. What We Offer - Opportunity to shape a cutting-edge pricing strategy in a high-growth sports environment. - Close collaboration with data engineers, analysts, commercial teams, and leadership. - A culture that values experimentation, innovation, and data-driven decision making. - Professional development opportunities across data science, engineering, and sports analytics.

Role: AI Developer

Location: London - up to 3 days per week on-site

Duration: 3 Months

Day rate: 540 - 585 Umbrella Only

Minimum of 5 years UK residency required

Role Description:

We’re looking for an experience AI developer with the skills below. They’ll be building out our client’s AI needs and wants using a Microsoft Azure and Copilot stack.

Essential skills and experience

• Design and develop Microsoft Azure AI solutions using services such as; AI Foundry, Open-AI services, and Microsoft Copilot Studio.
• Apply governance frameworks for AI/ML models.
• Python knowledge to automate processes
• Large datasets experience, including data preprocessing, feature engineering, and model evaluation.
• Agile development of AI solution from concept to deployment to continuous improvement.
• Create and maintain technical documentation
• Communicate complex concepts to all stakeholders.
• At least 3 years of experience in AI solution engineering.
• Large Language Models experience including prompt engineering and RAG implementations.
• Expert data analytics, MLOps practices and API development.
• Desirable knowledge in Docker and Kubernetes

Data Scientist (NLP & LLM Specialist)Remote- UK6-month contract with Potential ExtensionDay rate - 427.68 - 565 per day Inside IR35

Data Scientist (NLP & LLM Specialist)

Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers.

The Opportunity

In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets.

Your Impact

• Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes.
• Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment.
• Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data.
• Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions.

Your Experience

• Experience Level: 5-7+ years (More experience is welcomed).
• Core Technicals: High expertise in Python and Machine Learning (ML).
• NLP Expertise: 3-5 years of experience in Natural Language Processing.
• AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch.
• Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
• Industry Knowledge: Experience with Risk Modeling or financial services is preferred.

This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Senior Machine Learning Engineer - Data Science Focus

Based in London (Hybrid - 2 days onsite)

Permanent, Full-Time

Salary: Up to 95,000 (depending on experience)

We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you’ll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning.

You’ll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you’re passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you.

Role and Responsibilities

• Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods).
• End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies.
• Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications.
• Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS.
• Model governance: Apply best practices for evaluation, drift monitoring, and compliance.
• Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions.

Key Skills and Experience

• Master’s degree in a STEM or quantitative discipline (PhD nice to have).
• 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI).
• Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation.
• Production-grade Python proficiency and ability to write clean, maintainable code.
• Comfortable with complex SQL queries.
• Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified.
• Experience with Docker and Kubernetes in production environments.
• Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable.
• Strong communication skills and ability to explain technical concepts clearly.

Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects.

Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.

Tate is acting as an Employment Business in relation to this vacancy.

Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.