Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

* Design and build LLM-powered applications using Python and Generative AI frameworks

* Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows

* Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks

* Engineer scalable AI infrastructure across Azure and GCP environments

* Implement prompt engineering, model evaluation and LLMOps monitoring

* Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

* Strong Python development experience

* Experience building production LLM or Generative AI applications

* Knowledge of RAG pipelines, prompt engineering and vector search

* Experience with agentic AI frameworks (LangGraph, CrewAI or similar)

* Exposure to LLMOps, model evaluation or monitoring

* Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

* Conversational AI or AI assistant platforms

* Multi-agent architectures

* Responsible AI, AI ethics or guardrail design

* Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies

Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model performance to ensure accuracy and efficiency. Contribute to team knowledge by mentoring and supporting colleagues. Bring creativity and fresh perspectives to problem-solving and technical solutions. What Were Looking For: We welcome applications from women who are passionate about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines). Knowledge of distributed data processing (PySpark) and software engineering principles (Git). A collaborative mindset and excellent problem-solving abilities. Experience in data cleansing, exploratory data analysis, and visualisation. A continuous learning mindset and interest in emerging AI/ML technologies. Why Join Us? Work on impactful AI projects with real-world applications. Be part of a collaborative and forward-thinking team. Access to continuous learning and development opportunities. Flexible working arrangements and a supportive work culture. TPBN1\_UKTJ

Data Scientist - Optimisation & Operations Research

North West London (Hybrid, 3 days on-site) | £550 - £750/day

The Opportunity

We’re recruiting on behalf of a globally recognised organisation undergoing a major transformation in how it uses data to drive operational decisions. This is a rare chance to work on genuinely complex, high-impact decision-support software - embedding cutting-edge optimisation and machine learning directly into live operations.

You’ll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research.

What You’ll Be Doing

• Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning) in Python, from prototype to production
• Building robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CD
• Owning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement
• Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS)
• Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation

What We’re Looking For

• Strong operational research and optimisation background - this is a must
• Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages
• Production ML/optimisation software experience - you’ve shipped models that run at scale
• Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus
• Strong SQL and data engineering fundamentals
• Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable
• Master’s degree (or equivalent) in Data Science, ML, or Operational Research - or strong demonstrable industry experience

PRICING MANAGER- INSURANCE

£70-80K DEPENDING ON EXPERIENCE

LONDON BASED

This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be able to work across a range of pricing analytics projects with the rare opportunity to really take ownership of your work and make an impact.

THE COMPANY

Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. You’d be able to work in small team within this hands-on, analytical role whilst also taking on management of a couple of analysts.

THE ROLE

• End-to-end development of some of their first GBM models across the book
• Develop and implement pricing strategies to enhance business performance
• Analyse large sets of customer data to drive insight and commercial performance across their pricing quotes
• Share insight with the wider team and helping to improve profitability across the business
• Manage a team of 2, helping with their development and progression

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience within UK general insurance
• Essential to have had experience building GLM pricing models, ideally using ML techniques
• Exposure to both retail and risk pricing
• Good knowledge of programming software such as SAS, SQL, Python or R
• Experience managing junior analysts OR proven ability in coaching and leadership

SALARY AND BENEFITS

• Base salary £70-80,000 depending on experience
• Bonus
• Contributory pension scheme
• Work abroad scheme
• Private medical
• 25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

Data Scientist - Credit Risk £55-65,000 London

THE COMPANY

This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
• Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
• Own the deployment and implementation of predictive models across the product suite
• Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience developing predictive models, ideally within credit risk
• SQL and Python experience is essential
• Essential to have experience using Machine Learning techniques to develop non-linear models
• Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech

SALARY AND BENEFITS

• Base salary from £55-65,000
• Company pension scheme
• Private medical care
• Equity scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

• Design and build LLM-powered applications using Python and Generative AI frameworks
• Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows
• Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks
• Engineer scalable AI infrastructure across Azure and GCP environments
• Implement prompt engineering, model evaluation and LLMOps monitoring
• Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

• Strong Python development experience
• Experience building production LLM or Generative AI applications
• Knowledge of RAG pipelines, prompt engineering and vector search
• Experience with agentic AI frameworks (LangGraph, CrewAI or similar)
• Exposure to LLMOps, model evaluation or monitoring
• Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

• Conversational AI or AI assistant platforms
• Multi-agent architectures
• Responsible AI, AI ethics or guardrail design
• Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies.

Junior Mathematician iGaming Studio
Midlands (Hybrid 3 days onsite: Monday, Tuesday & Thursday)
Salary up to £25,000 - £30,000 DOE

An established iGaming provider is seeking a Junior Game Mathematician to join their game development studio. This role will focus on supporting the creation and validation of the mathematical frameworks behind casino games across both retail and digital platforms.

Working alongside experienced designers and developers, you ll gain hands-on experience with game maths models, contributing to their accuracy, quality, and regulatory compliance throughout the development lifecycle.

What You ll Be Doing:

• Assisting in designing and refining mathematical models for casino-style games
• Running simulations and performing calculations to support game performance validation
• Helping create and maintain clear, structured maths documentation
• Collaborating with development teams to ensure correct implementation of models
• Supporting game submissions with technical documentation
• Analysing competitor products and reviewing performance data
• Contributing ideas to improve processes and modelling approaches

What We re Looking For:

• Some experience (or academic background) in maths, statistics, or related field
• Degree in Mathematics, Physics, or related quantitative discipline (or equivalent practical experience)
• Basic programming knowledge for simulations
• Proficiency in Microsoft Excel
• Understanding of casino maths theory (RTP, volatility, probability models)
• High level of accuracy and attention to detail
• Strong communication skills and ability to collaborate across teams
• Enthusiasm to learn and develop within the role

Benefits:

• 25 days holiday + bank holidays (pro rata)
• Competitive pension scheme
• Life assurance from day one
• Enhanced family leave policies
• Private healthcare support & Employee Assistance Programme
• Hybrid working model (3 days onsite)
• Birthday leave
• Holiday buy & sell scheme
• Employee discounts platform
• Company social events & recognition awards

This is a fantastic opportunity to join a collaborative studio environment and develop your career in game mathematics, contributing to engaging gaming products for multiple markets.

This is a great opportunity to join a collaborative studio environment where you ll play a key role in shaping engaging gaming products for multiple markets. Please apply to

ABOUT BG AUTOMOTIVE

BG Automotive (BGA) is a leader in the Automotive Aftermarket spares industry, catering to both UK and export markets. At BGA, you will join a dynamic environment where innovation and data-driven decision-making are at the core of our success.

As a Data Scientist, you will work on impactful projects that range from advanced analytics and predictive modelling to business intelligence and process optimization. Collaborate with cross-functional teams to extract insights from data and develop solutions that enhance efficiency and drive growth.

We are looking for a curious and creative individual with a strong analytical mindset, technological fluency, and a passion for solving complex problems. If you thrive on uncovering insights through data and developing actionable solutions, BGA is the ideal place to advance your career.

What you will do:

• Analyse large and complex datasets to uncover insights and inform decision-making.
• Design and implement machine learning models to address business challenges.
• Develop dashboards, reports, and visualizations to present data-driven insights.
• Collaborate with cross-functional teams to identify opportunities for data-driven improvements
• Assist with the implementation of Oracle ERP, contributing data expertise in replacing Legacy systems and helping shape data flows, reporting structures, and integrations from the ground up.
• Improve processes through predictive analytics and statistical modelling.
• Create data-driven systems in collaboration with our software development team.
• Communicate findings clearly and effectively to both technical and non-technical stakeholders.

Required Skills:

• Proven experience (2+ years) in data science, machine learning, and statistical analysis
• Degree in Data Science, Computer Science, Mathematics, or a related field.
• Proficiency in Python for data analysis and machine learning.
• Strong knowledge of data visualization tools (Preferably Power BI).
• Strong SQL skills - comfortable with joins, subqueries, window functions, and query optimisation
• Experience with ETL processes and building/maintaining data pipelines.
• Excellent communication skills, with the ability to explain complex ideas simply.
• Ability to translate business problems into analytical solutions.

Desirable Skills:

• Experience with Oracle ERP or exposure to large-scale ERP implementation projects.
• Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud).
• Exposure to Rust, C# or other object-oriented programming languages.
• Knowledge of frontend development (HTML, CSS, JavaScript) is a plus.

What We Offer You:

• Competitive Salary: We re open to tailoring the job offer to fit your skills and experience.
• Environment: Work from our modern Swindon offices.
• Growth Opportunities: Be part of an ambitious, fast-growing company.
• Supportive Team: Join a close-knit group that values fresh ideas, innovation, and teamwork.
• Workplace pension
• On-site parking, Drinks & Fruit complimentary, Service gifts for 5,10,15 plus years, Increased holiday for long service.

• Salary: Up to £75k DOE + Bonuses & Benefits
• Location: Cheltenham (3 days on-site per week)
• Security Clearance: Active Enhanced DV (West) Required
• Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI

Who We Are?

We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science.

What Will You Be Doing?

• Applying advanced data science and machine learning techniques to solve complex challenges
• Conducting research and innovation to develop cutting-edge solutions
• Keeping up to date with the latest developments in ML and data technologies
• Engaging in the full data science lifecycle, from data collection to model deployment
• Producing clear and well-documented technical outputs
• Delivering high-quality, impactful project components
• Providing practical, data-driven solutions to clients
• Assisting in proposal development and pitching to stakeholders
• Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector

What Are We Looking For?

Essential Skills & Experience

• Active Enhanced DV Clearance
• Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia
• Strong knowledge of machine learning architectures and models
• Methodical approach to problem-solving and analytical thinking
• Ability to communicate complex technical concepts to a range of audiences
• Strong client relationship management skills

Desirable Skills & Experience

• Experience with cloud-based machine learning services (AWS, Azure, GCP)
• Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation
• Expertise in machine learning frameworks such as TensorFlow and PyTorch
• Knowledge of Natural Language Processing (NLP) and Computer Vision techniques
• Strong understanding of probability concepts and the machine learning lifecycle
• Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo)
• Awareness and application of Ethical AI principles

This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment.

Ready to take your career to the next level? Apply today and be part of something extraordinary!

Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.

KEY SKILLS:

Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance

Location: London (Hybrid) Salary: Competitive + Benefits Halian are representing a leading UK digital publishing organisation is seeking an AI Engineer to drive AI innovation across editorial, commercial, and product teams. This is a newly created opportunity to play a pivotal role in shaping how artificial intelligence is embedded into a large-scale newsroom and digital media environment. You will work cross-functionally to identify high-impact use cases and design practical, scalable AI solutions that improve efficiency, engagement, and decision-making. The Role Design, prototype, and deploy AI-driven tools to enhance newsroom and business workflows Develop prompt-engineered generative AI applications for summarisation, tagging, research support, and operational efficiency Build and test AI agents and automation workflows to streamline repetitive processes Partner with editorial, product, commercial, and technology stakeholders Foster a test-and-learn culture through experimentation and rapid iteration Ensure responsible and ethical AI deployment aligned with organisational standards Stay current with developments in LLMs, generative AI, and applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models in cloud environments (AWS, Azure, or GCP) Strong Python skills and experience integrating APIs and automation tools Commercial mindset with the ability to translate business needs into scalable AI solutions Experience within media, publishing, or digital product environments is advantageous Whats on Offer Competitive salary 25 days holiday (increasing with service) Pension and life cover Employee discounts and wellbeing support Onsite facilities including gym and healthcare support This is an excellent opportunity for an AI Engineer who wants to see their work deployed at scale within a high-impact, fast-paced digital environment. For a confidential discussion or to apply, please get in touch. TPBN1\_UKTJ

Quant Developer / Data Scientist Location: Flexible (Major Financial Hubs) Experience: 25 Years Compensation: Competitive + Performance-Based Bonus A leading asset management firm is seeking a highly talented Quant Developer / Data Scientist to join its systematic and discretionary investment teams. This is a front-office, high-impact role working directly with Portfolio Managers and Quant Researchers to design, implement, and scale the next generation of research and trading infrastructure. This opportunity is ideal for someone who loves hands-on development, quantitative research, and solving complex data challenges in a fast-paced, intellectually rigorous environment. Key Responsibilities Develop and optimise quantitative research frameworks , signal-generation pipelines, and analytics tools. Work closely with PMs and Quants to translate research ideas into production-grade models and code . Build and maintain high-performance C++ and Python components used for modelling, simulation, and live trading. Design scalable Linux-based data and compute architectures , including feature engineering and large dataset processing. Support the creation of robust backtesting environments , ensuring accuracy, reproducibility, and efficiency. Collaborate with investment teams to enhance portfolio construction, execution logic, and model robustness. Contribute to the broader technology and research roadmap, identifying opportunities for optimisation and innovation. Required Skills & Experience 25 years experience as a Quant Developer, Data Scientist, or Research Engineer within a trading, hedge-fund, or asset-management environment. Strong programming skills in: C++ (performance-critical research and execution components) Python (research, data processing, statistical modelling) Solid experience working in Linux environments, including scripting, debugging, and performance optimisation. Understanding of software architecture and experience contributing to scalable, modular research or trading systems. Strong quantitative background with a degree in a highly technical field (Computer Science, Mathematics, Physics, Engineering, Statistics, or related STEM discipline). Excellent problem-solving skills and the ability to work closely with front-office teams. Bonus / Preferred Skills Knowledge of Japanese equity or derivatives markets (microstructure, trading conventions, data nuances). Experience with time-series modelling, market-microstructure research, or alpha-signal development. Familiarity with cloud compute environments, distributed frameworks, or containerised research infrastructure. Experience with CI/CD, Git, workflow automation, and best-practice engineering processes. What Were Looking For Someone who is: Curious, analytical, and proactive. Excited by the challenge of building research and trading infrastructure from the ground up . Comfortable taking ownership, contributing ideas, and working directly with investment decision-makers. Motivated to work in a performance-driven, collaborative buy-side environment. TPBN1\_UKTJ

3-Month contract - Inside IR35 - market rate Selby based - hybrid working - 1/2 days office based Must have previous experience in energy sector, power generation or power trading industry Key Responsibilities Partner with business stakeholders to identify and prioritise opportunities where data science can deliver measurable value. Collect, clean, and transform structured and unstructured data from multiple internal and external sources. Develop, test, and deploy predictive models and machine learning algorithms to address business challenges. Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers. Communicate insights and recommendations through clear storytelling, visualisations, and dashboards. Collaborate with engineering teams to productionise models and ensure reliability, scalability, and ongoing performance. Evaluate model accuracy and effectiveness, implementing continuous optimisation and tuning. Stay up to date with emerging data science tools, methodologies, and industry best practices. Perform sensitivity analysis to assess model robustness and variable impact. Required Skills and Qualifications At least 5 years' experience in client‑facing data science roles with demonstrable impact on business outcomes. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline. Strong proficiency in Python or R, including libraries such as pandas, scikit‑learn, NumPy, TensorFlow, or PyTorch. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Hands‑on experience applying a range of supervised and unsupervised machine learning techniques (e.g., Random Forest, regression models, clustering methods). Proficiency with SQL and data warehousing technologies. Ability to translate complex analytical findings into clear, practical business recommendations. Strong problem‑solving skills and natural curiosity for exploring and understanding data. Industry experience in power generation and power trading Preferred Skills and Qualifications Experience working with cloud platforms such as Azure, AWS, or Google Cloud. Background in deploying machine learning models into production environments (MLOps experience is advantageous). Hands‑on experience with big‑data or distributed computing tools such as Spark and Databricks. Familiarity with visualisation tools such as Power BI, Tableau, or Plotly. Key Competencies Strong analytical and conceptual thinking. Excellent communication and data‑storytelling capabilities. Effective collaboration and stakeholder‑engagement skills. High attention to detail and commitment to data accuracy. Continuous learning mindset and openness to new techniques and technologies.Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change

Job Title: AI Engineer / Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer / Machine Learning Engineer to join their expanding AI practice. This is a high-impact role working on real client projects across generative AI, machine learning and cloud-based solutions. Key Responsibilities: Design, build and deploy machine learning and AI solutions for enterprise clients Develop models using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative AI initiatives using Hugging Face and open-source models Collaborate with data engineers, architects and stakeholders to deliver production systems Required Skills & Experience: 38 years experience in AI, Machine Learning or Data Science roles Strong Python programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs, RAG pipelines or generative AI applications Knowledge of Docker, Kubernetes or CI/CD for ML Exposure to other cloud platforms (Azure/GCP) Whats on Offer: £80,000£120,000 base salary Work on cutting-edge AI and generative AI projects Rapid career progression within a growing consultancy Collaborative, innovation-focused culture Flexible/hybrid working If youre looking to build advanced AI solutions and want to be part of a consultancy scaling its AI capability, apply now with your CV. TPBN1\_UKTJ

AI, Automation & Emerging Technology
UK Junior Mid Level 2+ Years Experience

About the Role

We re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Analyst (R&D), you ll generate the technical evidence that supports strategic decisions. You ll research AI and automation technologies, evaluate vendors and tools, build (basic) timeboxed proofs of concept in Python and/or C#, and produce clear, decision-ready outputs.

This is not a BAU delivery role.
It s structured, evidence-led innovation.

You ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer (Who is an accomplished Software Engineer)

Salary: £40 - £50K Basic + Bonus + Benefits package

Location: North East office, but remote across the UK is totally fine.

What You ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Some Hands-on coding ability in Python and/or C# (You’ll learn software engineering from the senior R&D engineer, who’ll learn R&D from you!)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We re looking for curiosity and rigour in equal measure someone excited by emerging AI, but disciplined enough to separate signal from noise.

Apply now!

IBP Data Analyst (Demand Planning and Transformation team.)

Location - Cheshire

Hybrid working Model / Excellent Benefits/ Bonus

European Travel required (minimal)

We are recruiting for an IBP Data Analyst to support the Demand Planning and Transformation team. This is a highly data and reporting focused role, requiring strong analytical intelligence and the ability to interpret complex demand planning data across large SKU portfolios supporting UK manufacturing sites and European customer portfolios.

The role will focus on identifying trends, risks, and variances within forecasting and supply chain data, producing clear data-driven insights and reports to support operational and strategic decision-making. The successful candidate will also support the development and enhancement of data dashboards and reporting tools, helping to improve visibility and insight across demand planning and supply chain performance. Experience using analytical platforms such as Power BI, SAP IBP, or similar data tools is highly desirable.

Key Responsibilities

• Support demand forecasting activities for key customers across complex SKU portfolios, analysing forecast data and highlighting risks, trends, and variances.
• Analyse and consolidate 13-week customer forecasts, critically reviewing forecast submissions for accuracy, bias, and anomalies.
• Compare historical sales data vs. new forecasts, identifying trends, seasonality, volatility, and variances to create a realistic and achievable demand plan.
• Develop and maintain rolling demand plans, translating customer forecasts into actionable production and inventory requirements.
• Support and actively contribute to the monthly S&OP process, providing clear insights, risks, opportunities, and recommendations to senior stakeholders.
• Work closely with Sales, Production, Supply Chain, and Operations teams, attending customer review meetings and internal planning forums.
• Present and communicate demand planning insights, reports, and data analysis to internal stakeholders and customer teams, translating complex data into clear and actionable information.
• Analyse historical demand, forecast, and sales data across large SKU portfolios to identify trends, volatility, and demand patterns.
• Apply product segmentation techniques to group SKUs based on demand behaviour and commercial impact, using these insights to support forecasting accuracy, reporting, and supply chain planning decisions.
• Support production lifecycle management, including product introductions, phase-outs, and stock build strategies within planning systems.
• Prepare and deliver data-driven reports and presentations to senior management, clearly explaining complex data and assumptions.
• Identify trends, performance gaps, and value opportunities within demand data to support continuous improvement.
• Operate effectively in a fast-paced, high-change manufacturing environment, managing multiple priorities and tight deadlines.
• Support European and cross-regional teams on projects related to the implementation and enhancement of new data analytics and planning tools.
• Support continuous improvement initiatives by identifying opportunities to enhance data quality, reporting efficiency, and forecasting visibility.
• Drive improvements in forecasting accuracy, data quality, and planning processes through automation, system optimisation, and best practice.

Essential:

• Proven experience within an FMCG or manufacturing environment ( Advantage but not essential) analysing demand planning and forecasting data.
• Strong experience working with large, complex data sets, including SKU-level, customer-level, and time-phased demand data.
• Demonstrated ability to challenge forecast inputs and build robust demand plans based on data, not assumptions.
• Advanced Excel skills (pivot tables, lookups, data modelling, reporting dashboards).
• Strong communication skills with the ability to translate complex data into clear, commercial insight for non-technical stakeholders.
• High level of accuracy, attention to detail, and ownership of data integrity.

Highly Desirable:

• Experience/Knowledge using ERP / planning systems such as SAP, SAP IBP, APO, or similar.
• Exposure to advanced data analytics tools such as: SQL for data extraction and manipulation, Python for forecasting models, automation, or advanced analysis, Power BI / data visualisation and reporting
• Understanding of S&OP / IBP frameworks and supply chain optimisation principles.
• Experience working with European or international supply chains.

Worcestershire (On-site)
3-Month Contract Immediate Start

SF Recruitment are supporting an established Worcestershire-based organisation seeking an experienced Reporting Analyst to provide hands-on support within the finance function.

This is a contract role focused on improving and streamlining management reporting within a JD Edwards ERP environment.

The Role

You will be responsible for:

Producing and enhancing management reports
Working with JD Edwards
Simplifying complex financial and non-financial data into clear, usable outputs
Improving the structure and presentation of existing reporting packs
Engaging directly with senior finance stakeholders, including the FD
Gathering reporting requirements from internal teams

This is a practical, delivery-focused role suited to someone who can quickly assess current reporting processes and implement improvements.

Required Experience

Proven background in finance reporting / management information
Strong hands-on experience with JD Edwards
Advanced Excel skills (pivot tables, data manipulation, PowerBI desirable)
Experience supporting senior finance stakeholders

Ability to translate detailed financial data into clear management insight

Exposure to Power BI or similar tools would be beneficial but is not essential.

Ideal Candidate

Commercially minded with strong analytical skills
Confident communicator at senior finance level
Comfortable working on-site and operating autonomously
Available to start at short notice

This contract sits outside IR35 and requires on-site presence in Worcestershire.
This role is 5 days on site

If you have strong reporting experience and are available immediately, please apply with your latest CV.

About the opportunity

Are you ready to launch a career in the fast-growing world of Data Analytics and Business Intelligence?

Netcom Training s fully-funded Certificate in Data (Level 3) equips you with the technical skills employers are actively seeking. Unlike standard administration courses, this programme focuses on the specific tools used by industry pros, including Excel, SQL, Tableau, and Power BI.

From sourcing and cleansing data to creating visual dashboards that drive business decisions , you will gain hands-on experience that prepares you for roles like Junior Data Analyst, Data Technician, or Business Analyst.

Complete the course and gain a guaranteed interview with a leading employer, helping you kickstart your career.

Course Details

• Start Date: 23.02/16.03
• Duration: 17 weeks
• Format: Online, practical workshops
• Qualification: NCFE Accredited Level 3 Certificate

What you ll learn

You will move beyond the basics and master the full data lifecycle:

• Core Tools: Gain hands-on skills in Excel, SQL, Tableau, and Power BI.
• Data Sourcing: Understand common data sources and how to collect data effectively.
• Processing: Learn to format, blend, link, and save datasets using professional tools.
• Analysis: Apply statistical methods and algorithms to filter data and support business outcomes.
• Visualisation: Create clear, engaging dashboards to present insights to stakeholders.
• Security & Compliance: Understand GDPR and legal requirements for secure data handling.
• Collaboration: Learn to work effectively within multi-functional teams.

Career Pathway

Successful participants are guaranteed an interview with our network of partners.

Potential Roles & Starting Salaries:

• Junior Data Analyst: £20,000 £25,000
• Junior Business Analyst: £22,000 £28,000
• Data Technician: £18,000 £25,000
• Data Administrator: £18,000 £25,000

Eligibility

This is a government-funded opportunity. To apply, you must:

• Live in Greater Manchester
• Be aged 19 or over.
• Have lived in the UK/EU for a minimum of 3 years.
• Earn below the gross annual wage cap (approx. £32,400 for GMCA).
• Prerequisites: Basic IT skills are required.

Cost

This is a fully-funded course with no fees complete the training, gain your Level 3 Certificate, and secure your guaranteed interview.

provided you meet the learner obligations outlined in our employablility terms and conditions, which can be found on our website.

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: North East. Hybrid office work / flexible. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll DoResearch & Evaluation

• Scan the market for emerging AI, orchestration, and automation technologies
• Conduct structured vendor and platform evaluations
• Assess technical fit, integration complexity, security posture, cost, and viability
• Stay current with LLMs, AI APIs, frameworks, and cloud services
• Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

• Build lightweight PoCs to validate APIs and technical hypotheses
• Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
• Contribute Python and/or C# code under technical direction

Focus: validation and insight - not production-grade implementation.

Documentation & Process

• Own R&D documentation, decision logs, and handover packs
• Maintain backlog discipline and enforce stage-gate standards
• Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication - clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

• Contributed to live evidence packs
• Helped standardise R&D evaluation templates
• Supported an initiative through to handover-ready recommendation

Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure - someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

• Lead and develop a growing Data Science team, setting standards and delivery cadence
• Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now! Lead Data Scientist

High Growth B2B SaaS AI & Machine Learning Platform

£90,000 - £100,000 + Significant Equity

I am working with a scaling London based technology business where Machine Learning and AI sit at the core of the product.

The platform is built around a large-scale dataset created by crawling the web and collecting millions of listings from multiple external sources. That raw data is then structured, matched and analysed to power a suite of SaaS tools used across the market.

One of the core technical challenges is that the same entity can appear multiple times across different sources, often with slightly different attributes or descriptions. The platform uses a combination of neural networks and rule based systems to match records and build a reliable dataset over time. They are now hiring a Head of Data to take ownership of their data and AI platform.

The Opportunity

This is a hands-on leadership role where you will lead a team of 5-6 across Data Science and Data Engineering while remaining technically involved in modelling, machine learning deployment and architectural decisions.

The platform runs on AWS and includes large-scale crawlers ingesting significant volumes of external data. However, the architecture has evolved over time and data currently sits across multiple siloed systems.

They need someone who understands what good looks like in a modern data platform and can bring structure, coherence and technical direction.

You will take ownership of improving the data architecture, strengthening the matching systems and defining a clear data and AI roadmap for the business.

Key Areas of Focus

• Designing and improving a scalable AWS based data platform
• Rationalising fragmented data across multiple systems
• Leading the full machine learning lifecycle from ingestion and feature engineering through to deployment
• Improving neural network and rule based matching systems used to identify the same entities across different sources
• Embedding robust MLOps and model monitoring
• Building a coherent data architecture that supports future AI development
• Leading and developing a team of Data Scientists and Data Engineers

The Background That Works Well

Relevant experience in environments that deal with messy data from multiple external sources might include:

• Web crawling or large-scale web data ingestion
• Marketplace or data aggregation platforms
• Entity resolution, record linkage or deduplication systems
• Matching systems or recommendation engines
• Geospatial or address based data platforms
• ML systems deployed into production

You do not need sector experience, but you should be comfortable working with complex datasets where the same entity appears across multiple sources.

What They Are Looking For

• Strong Data Science background with hands on machine learning experience
• Experience deploying ML models into production environments
• Understanding of data engineering concepts and modern cloud data platforms
• Architectural thinking around data platforms and ML systems
• Experience working with messy, multi source datasets
• Leadership experience managing small, high impact teams
• Someone proactive who can define standards and shape the data roadmap

Package

Salary: £90,000 - £100,000

Equity: Meaningful equity with real upside (3 year vesting)

Location: London - Hybrid working, typically 2-3 days in the office with a pragmatic approach to flexibility

This is a high ownership role where you will be shaping the foundations of a data and AI platform inside a scaling technology business.

If you enjoy solving complex data problems, building scalable machine learning systems and leading a small but impactful team, I would be keen to speak.

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

• Lead and develop a growing Data Science team, setting standards and delivery cadence
• Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now! Lead Data Scientist