Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. 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 candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Location: Home based

Hours: Part time - 18 hours

Terms: One-year fixed term contract (with a possibility of extending the role funding allowing)

Salary: FTE £24,750 (actual £11,880)

Pension: NEST Scheme

Annual Leave: 28 days pro rata (inclusive of bank holidays)

Normal working week: 37.5 hours

What we can offer you:

• Flexible, remote working from home.

• A positive and friendly staff culture.

• Annual in-person meet-ups as a team.

• Laptop and Phone as required.

• Option to discuss and set your own regular working hours.

• The opportunity to make a difference to a growing charity and a large, engaged

community.

• Organisation wide shut down at Christmas in addition to your holiday entitlement

ABOUT US

PANS and PANDAS are complex neuro-psychiatric conditions which are frequently

misunderstood and misdiagnosed. PANS PANDAS UK are the only charity in the UK

working to improve outcomes and ensure brighter futures for people affected by PANS and PANDAS.

We provide support and information to families, and work tirelessly to inform medical

practice, raise awareness, engage with medical, social work and educational

professionals, and much more.

We are a small team based at home in various UK locations. We keep in touch frequently online and have a warm, supportive and positive culture.

OVERALL PURPOSE

The Education Training Development Manager will lead the operational development, and delivery of the national education training programme, ensuring it aligns with organisational priorities and emerging national guidance. The role is responsible for the coordination, growth and quality assurance of PANS PANDAS UK’s national CPD training offer for teachers and educational psychologists (EPs), supporting the development and delivery of high‑quality training modules and strengthening partnerships.

The role reports to and works in close collaboration with the PANS PANDAS UK Education Lead, who retains overall ownership, strategic responsibility and final decision‑making authority for the training programme and the wider education strategy.

Central to this role is working collaboratively with the PANS and PANDAS community and the Youth Advisory Board (YAB) to ensure all training is informed by lived experience.

Key Responsibilities

Programme & Content Development

• Jointly review, update and refine existing CPD materials with the Education Lead, informed by national guidance and emerging research, with the Education Lead holding overall responsibility
• Support development of new training modules and associated materials.
• Explore future delivery models to expand national reach and scalability.
• Identify opportunities for integration of PANS or PANDAS training/materials within University/Initial Teacher Training (ITT) and other relevant programmes.
• Work collaboratively with the PANS PANDAS community and Youth Advisory Board (YAB) to ensure training reflects lived experience.

Trainer Recruitment & Capacity Building

• Recruit and induct additional trainers.
• Support trainer development.
• Maintain consistent quality standards.
• Deliver priority or pilot training sessions when needed to help support programme growth and maintain delivery capacity.

Strategic Programme Oversight

• Provide leadership and direction for the development and delivery of the national education training programme within the strategic framework set by the Education Lead.
• Ensure training content and delivery models align with organisational priorities and upcoming national guidance.
• Lead long-term programme planning, sustainability and continuous improvement.

Partnership Development & Sector Engagement

• Build relationships with MATs, LAs, Universities and other national relevant organisations.
• Work with the charity Communications and Engagement Officer to promote the training models across social media and education networks.
• Attend and present at education sector events and networks to raise awareness of training opportunities.

Commissioning & Income Support

• Develop commissioning packages tailored to MATs, LA’s and other relevant organisations.
• Support pricing structures.
• Identify sustainable income opportunities for the charity via the training.

Quality Assurance & Evaluation

• Oversee monitoring and evaluation processes.
• Prepare reports for the charity as required.

Operational Coordination

• Coordinate scheduling, setup and delivery logistics for all training sessions.
• Manage bookings, confirmations, resource distribution, attendance recording and data collection
• Lead regular training team meetings to support planning and quality assurance.
• Support management and storage of training assets.
• Maintain regular communication with the Education Lead.

Working Environment & Culture

• Remote and flexible working within a digitally enabled national team.
• Supportive work–life balance, flexible leave arrangements and an organisational shutdown during part of December.
• Commitment to equality, diversity and inclusion, with lived experience valued.

Skills, Knowledge & Experience

Essential

• Relevant qualifications (teaching, SEND, adult learning, training design, project management).
• Ability to set priorities and align training with national guidance.
• Experience shaping or influencing SEND practice or programme development within an education context.
• Relationship building skills within the education sector.
• Strong organisational and project management skills.
• Excellent communication skills.
• Ability to work independently and as part of a team.
• Knowledge of the UK education sector.
• Familiarity with digital learning platforms.
• Willingness to gain an in depth understanding of PANS or PANDAS.
• Ability to work sensitively and confidently with the PANS and PANDAS community, including the YAB, creating safe and inclusive spaces.

Desirable

• Degree-level education or equivalent professional experience
• Experience contributing to strategic planning within education, a charity or Local Authority.
• Experience with CPD
• Experience leading multiagency or cross sector initiatives.
• Lived experience of PANS and PANDAS

Data Reliability Engineer II (dRE)

Role Overview:

A crucial role in CME’s Cloud transformation, the dRE II will be aligned to data product pods ensuring that our data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.

Accountabilities:

• Automate data tasks on Google Cloud Platform (GCP).
• Work with data domain owners, data scientists, and other stakeholders to ensure that data is consumed effectively on GCP.
• Design, build, secure, and maintain data infrastructure, including data pipelines, databases, data warehouses, and data processing platforms on GCP.
• Measure and monitor the quality of data on GCP data platforms.
• Implement robust monitoring and alerting systems to proactively identify and resolve issues in data systems.
• Respond to incidents promptly to minimize downtime and data loss.
• Develop automation scripts and tools to streamline data operations and make them scalable to accommodate growing data volumes and user traffic.
• Optimize data systems to ensure efficient data processing, reduce latency, and improve overall system performance.
• Collaborate with data and infrastructure teams to forecast data growth and plan for future capacity requirements.
• Ensure data security and compliance with data protection regulations.
• Implement best practices for data access controls and encryption.
• Collaborate with data engineers, data scientists, and software engineers to understand data requirements, troubleshoot issues, and support data-driven initiatives.
• Continuously assess and improve data infrastructure and data processes to enhance reliability, efficiency, and performance.
• Maintain clear and up-to-date documentation related to data systems, configurations, and standard operating procedures.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience.
• Professional Experience: Experience as a Site Reliability Engineer or a similar role with a focus on data infrastructure management.
• Methodologies: Understanding of Site Reliability Engineering (SRE) practices.
• Data Technologies: ideally some experience in data technologies such as relational databases, data warehousing, big data platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure).
• Programming Skills: Any programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java, functional interface, collections), or Scala with experience in automation and scripting would be great.
• Infrastructure Tools: Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.
• Compliance: Experience with data governance, data security, and compliance best practices.
• Software Development: Understanding of software development methodologies and best practices, including version control (e.g., Git) and CI/CD pipelines.
• Cloud Computing: Any experience in cloud computing and data-intensive applications and services, ideally Google Cloud Platform (GCP) would be highly beneficial.
• Quality Assurance: Experience with data quality assurance and testing.
• GCP Data Services: Any exposure to GCP data services (BigQuery, Dataflow, Data Fusion, Dataproc, Cloud Composer, Pub/Sub, Google Cloud Storage) is a bonus.
• Monitoring Tools: Understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, and Splunk.
• Advanced Tech: Knowledge of AI and ML tools is a plus.
• Certifications: Google Associate Cloud Engineer or Data Engineer certification is a plus.
• Domain Specifics: Experience in data engineering or data science.

Company Benefits:

• Bonus Programme
• Equity Programme
• Employee Stock Purchase Plan (ESPP)
• Private Medical and Dental coverage
• Mental Health Benefit Programme
• Group Pension Plan
• Income Protection
• Life Assurance
• Cycle To Work
• EV Car Benefit Scheme
• Gym Membership
• Family Leave
• Education Assistance - MBA/Advanced Degree/Bachelor Degree
• Ongoing Employee Development Training/Certification
• Hybrid Working

CME Group: Where Futures are Made

CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it - all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more.

At CME Group, we embrace our employees’ unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.

Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here.

To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Continue to Application or Login/Register to apply button below.

We are seeking a detail-oriented and technically skilled AI & Data Process Intelligence Analyst with 3+ years of experience in automation and intelligent process improvement.
In this role, you will design, develop, and deploy AI-enabled automation solutions, leverage process mining techniques to identify optimisation opportunities, and apply data-driven insights to enhance operational efficiency across the business.
This position sits at the intersection of automation, data analysis, and applied machine learning. You will work closely with business stakeholders to deliver scalable and practical solutions.
Key Responsibilities * Apply AI and automation techniques to streamline and improve operational processes. * Develop dashboards and performance reports using Power BI to support data-driven decision making. * Use prototyping and design tools (e.g. Google Gravity, Figma Make) to design, document, and optimise process workflows and automation solutions. * Build and integrate machine learning models (e.g. classification, prediction, and optimisation) into automation workflows where appropriate. * Analyse structured and unstructured data using Python and SQL to validate business problems and quantify potential process improvements. * Collect, clean, and prepare operational data from multiple sources for analysis and modelling. * Collaborate with business stakeholders to gather requirements and translate them into scalable automation and AI solutions. * Monitor deployed automations and AI models to ensure ongoing performance, accuracy, and reliability. * Document solutions, maintain governance standards, and adhere to best practices for automation lifecycle management.
Required Experience & Skills * 3+ years of experience in automation engineering, intelligent process automation, AI/ML implementation, digital transformation, or a similar technical role. * Strong proficiency in Python and SQL for data analysis and automation development. * Hands-on experience with RPA and workflow automation tools (e.g. Power Automate, UiPath). * Practical experience developing and deploying machine learning models in Python (e.g. scikit-learn, pandas). * Experience working with APIs and integrating systems across business platforms. * Strong analytical thinking and problem-solving skills with the ability to translate complex data into actionable insights

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. *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 candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. *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 candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. *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 candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Role: Data Scientist Location: Nottingham, UK (80% Remote) Salary: £60k The Opportunity A growing, data-driven organisation is looking for a Data Scientist to help unlock the value of its data. This is a hands-on role where you’ll work on a mix of analytics and machine learning projects, partnering with different teams to turn complex datasets into clear, actionable insights. You’ll have the freedom to own problems end-to-end, from exploration through to deployment, while contributing to a modern, evolving data function. What You’ll Be Doing

• Designing and building data science solutions using Python
• Exploring datasets to uncover trends, patterns, and opportunities
• Applying statistical methods and machine learning techniques to solve business challenges
• Using clustering and segmentation to enhance analysis where relevant
• Translating technical outputs into clear insights for a range of stakeholders
• Supporting the deployment, monitoring, and ongoing improvement of models
• Contributing to best practices, tooling, and ways of working within the data team

What They’re Looking For

• Around 3-5 years’ experience in a Data Science or advanced analytics role
• Strong Python skills, including libraries such as pandas, NumPy, SciPy, and scikit-learn
• Experience with gradient boosting frameworks (e.g. LightGBM or similar)
• Solid grounding in statistics and machine learning concepts
• Comfortable working with structured data and SQL
• Ability to communicate insights clearly to both technical and non-technical audiences
• Experience taking models beyond experimentation into production environments
• Strong analytical thinking and problem-solving ability

Nice to Have

• Exposure to R for analysis or experimentation
• Understanding of modern engineering practices (CI/CD, Docker, or similar)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with version control (Git) and collaborative workflows
• Experience working in Agile environments

Product Data ScientistLocation: Remote - UKType of role- 6 Months contract with potential extensionPayrate - £498 - £679 Per Day Inside IR35

We’re hiring a Data Scientist to join a globally recognised audio streaming platform, supporting their experimentation and analytics ecosystem. This is a fantastic opportunity to work on a high-impact product used to power A/B testing and data-driven decision-making at scale.

This role sits within a fast-paced analytics team and is focused on hands-on data analysis, experiment monitoring, and stakeholder reporting rather than machine learning or research work.

What you’ll be doing:

• Build and maintain dashboards tracking experiment performance and platform adoption
• Analyse A/B tests, ensuring data quality, validity, and actionable insights
• Perform deep-dive and ad-hoc analysis on experiment health and user behaviour
• Work closely with product, engineering, and data teams to support decision-making
• Translate complex data into clear, impactful narratives for stakeholders

What we’re looking for:

• Strong SQL skills (essential) with experience working on large datasets
• Solid Python experience (pandas, NumPy) for data analysis
• Strong understanding of A/B testing and experimentation concepts
• Experience with BI tools (Tableau, Looker, or similar)
• Ability to work independently in a distributed team environment

Nice to have:

• Experience with BigQuery and dbt
• Exposure to experimentation platforms (e.g., Optimizely, LaunchDarkly)
• Familiarity with experiment quality frameworks or advanced testing methods

If you’re a hands-on analyst who enjoys working with data at scale and driving insights through experimentation, this could be a great fit.

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.

A leading commodities trading business is looking to hire a Junior Python Developer to join its front-office technology and analytics function in London.

This role sits within a highly technical team supporting trading, risk, and quantitative analytics platforms across physical and derivatives markets. You’ll work closely with traders, quants, and senior engineers on the development of modern data and analytics tooling used across the business.

The environment is C# and Python-focused, with increasing adoption of cloud-native data technologies including Databricks, whilst also integrating with established quantitative pricing and risk platforms such as Numerix.

This is an excellent opportunity for a junior engineer with strong Python fundamentals and exposure to data engineering or financial analytics to gain hands-on experience in a fast-moving commodities trading environment.

Responsibilities

• Develop and maintain Python-based analytics and data applications
• Build and support Databricks workflows, notebooks, and data pipelines
• Assist with integration of Numerix pricing and risk models into internal tooling
• Work with large market data and trade datasets across commodities products
• Support front-office users including traders, structurers, and risk teams
• Contribute to pricing, PnL, exposure, and risk reporting tools
• Improve automation, data quality, and operational efficiency across the platform
• Collaborate with senior developers and quantitative teams on new analytics capabilities
• Participate in debugging, testing, and production support activities

Technology Environment

• Python
• Databricks / Apache Spark
• SQL
• Pandas / NumPy
• Git
• REST APIs
• Cloud technologies (Azure or AWS)
• Numerix (or equivalent pricing/risk platform)
• Jupyter / notebook-based analytics workflows

Requirements

• 1-3 years’ commercial Python development experience
• Strong understanding of data structures and software engineering fundamentals
• Experience working with data engineering or analytics tooling
• Exposure to Databricks, Spark, or cloud-based data platforms
• Understanding of SQL and relational databases
• Excellent problem-solving and communication skills
• STEM or Computer Science degree preferred

Nice to Have

• Exposure to commodities, trading, or financial markets
• Experience with derivatives pricing or risk systems
• Knowledge of Numerix or similar quant/risk platforms
• Understanding of ETL and data pipeline design
• Experience working in Agile delivery environments

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

My client is a fast-growing UK 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 role combining technical ownership and production-grade model deployment.

The Role

As Senior Data Scientist, you will:

• 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! Senior Data Scientist

This role is being handled by Via, a secure hiring platform used by employers to review candidates.

After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match.

AI Engineer

• £70,000 – £130,000
• Central London (Hybrid – 2–3 days in office)
• High-growth, well-funded AI business

Via is supporting a rapidly scaling, well-backed AI company in their search for exceptional AI Engineers. This is a rare opportunity to join a business at the forefront of applied AI, building real-world, production-grade systems powered by large language models.

If you’re excited by solving complex problems, working with cutting-edge tooling, and seeing your work deployed at scale, this is the kind of role that will accelerate your career fast.

The Opportunity

You’ll play a key role in designing and deploying sophisticated AI systems used in real-world environments. This is not a research-only role – you’ll be building, shipping, and continuously improving production applications that deliver tangible impact.

You’ll work alongside highly capable engineers in a collaborative, fast-moving environment where experimentation, iteration, and innovation are actively encouraged.

What You’ll Be Doing

• Designing and building production-grade AI systems using LLMs
• Developing RAG pipelines, vector search solutions, and agent-based workflows
• Creating robust evaluation frameworks to measure accuracy, reliability, and performance
• Building scalable APIs, services, and data pipelines
• Implementing observability, monitoring, and feedback loops to continuously improve outputs
• Optimising models and prompts for latency, cost, and quality across different providers

What We’re Looking For

• Experience building applications using LLM APIs, with a strong understanding of their strengths and limitations
• Hands-on experience with RAG architectures, vector databases, and prompt engineering
• Experience developing multi-step workflows or agentic systems (frameworks or custom builds)
• Strong programming skills (Python or similar), with experience building production systems
• Solid understanding of cloud environments (AWS, GCP, or Azure)
• Experience with distributed systems, CI/CD, testing, and deployment pipelines
• Strong data handling skills (SQL, pandas) and an understanding of evaluation strategies for AI systems
• Comfortable working in ambiguous environments and iterating on non-deterministic systems

Bonus Experience (Nice to Have)

• AI-assisted development tools (e.g. Copilot, Codex, Claude Code)
• Fine-tuning models and understanding when to use it vs RAG or prompting
• Experience with real-time systems, multimodal AI, or search technologies
• Familiarity with observability tooling and cost optimisation strategies
• Experience in regulated or complex industries (e.g. finance, healthcare, energy)
• Exposure to agent orchestration, tool usage, and guardrails

What’s On Offer

• Highly competitive salary and bonus
• The chance to work on genuinely cutting-edge AI problems
• A collaborative, high-performance engineering culture
• Strong financial backing and ambitious growth plans
• Clear progression opportunities as the company scales
• Personal learning budget to accelerate your development
• Freedom to choose your own equipment and setup

Why Apply?

This is an opportunity to move beyond theory and into real-world AI impact – building systems that are used, tested, and scaled. You’ll be joining at a pivotal stage, where your work will directly shape both the product and the future of the business.

Register your details on Via to progress your application. Create one profile and be matched to this role and other relevant opportunities, including roles advertised exclusively on Via.*

£700-750/day overall assignment rate to umbrella

Fully remote

6 month initial

Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.

As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.

We’re looking for individuals with:

• Experience: Proven background as a Machine Learning Engineer.
• Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).
• Data transformation & manipulation: experience with Airflow, DBT and Kubeflow
• Cloud: Experience with GCP and Vertex AI (developing ML services).
• Expertise: Solid understanding of computer science fundamentals and time-series forecasting.
• Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

We’re working with a global investment bank to hire an AI Analyst into their London team, focused on delivering practical AI solutions that directly impact front-office and business performance.

This is a hands-on role sitting between AI engineering and business delivery, working closely with London-based stakeholders and a global AI function to build, iterate and deploy high-value AI applications.

The Role

You will be responsible for taking AI use cases from idea through to delivery, working directly with end users to understand requirements, build solutions, and continuously improve them.

Key responsibilities include:

• Developing and deploying AI/ML solutions using Python and SQL
• Working with LLMs, including prompt engineering, evaluation and optimisation
• Engaging directly with business users to scope requirements and translate into technical solutions
• Building, testing and iterating AI products in a fast-paced, delivery-focused environment
• Supporting deployment, QA and ongoing improvement of AI tools
• Training users and embedding solutions into day-to-day workflows
• Operating within a regulated financial services environment, ensuring compliance and governance standards are met

What We’re Looking For

• 3-6 years’ experience in AI, Data Science or ML Engineering roles
• Strong Python and SQL skills, including data manipulation (Pandas)
• Experience working with LLMs, prompt engineering and model optimisation
• Understanding of end-to-end AI delivery from requirements through to deployment
• Exposure to financial services or regulated environments is highly desirable
• Strong communication skills with the ability to work directly with non-technical stakeholders
• Comfortable working in a hands-on, business-facing role

Why Join?

• Opportunity to work on real-world AI applications with measurable business impact
• Close collaboration with both local stakeholders and global AI leadership
• High visibility role with direct exposure to decision-makers
• Ideal for someone looking to move beyond modelling into end-to-end AI product delivery

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Robert Half Technology are assisting a market leading financial services to recruit a Python Developer on an initial 12 month FTC basis. London based - hybrid working

This role is primarily to provide AI integration support and guidance to a team of around 25 investment, operations and support personnel. We are in the early stages of this process so the role will be well positioned to help guide how the integration looks. The second function of the role is providing support, when needed, to the Python and SQL based reporting suite used by the operations team.

Role

• The Python Developer will lead the AI integration project, focusing on data security and controls appropriate for the needs of the different teams within the business
• Train staff to use AI tools both efficiently and securely
• Work with our outsourced IT provider to ensure that we stay up to date with developments in AI security and integration
• Ensure the smooth running of existing Python/SQL reporting framework.

The AI enablement Engineer will have experience with the following technologies/tools:

1. Docker, Postgres, REST APIs, SFTP, Websockets
2. OOP + Asynchronous Design Patterns
3. PowerQuery/DAX/M
4. Industry standard libraries used in software development within finance (pandas, numpy, scipy etc)
5. MS Graph

* Experience with the following technologies is nice to have:

1. NodeJS
2. Grafana
3. VBA
4. OpenAI API
5. Cross OS file shares

Profile

The Python Developer will have experience with the following:

• Data processing and transformation
• Report maintenance/production
• Management of automated processes
• Use/management of virtual machines
• Investigation of reporting breaks/inconsistencies with an eye for detail
• The ability to quickly adopt and use the stack of previous developers
• Experience with migrations is a nice to have
• Develop new reporting processes needed by the operations team

Company

• Market leading financial services organisation
• Initial 12 month FTC
• Global presence with offices in London
• hybrid working

Salary & Benefits

The salary range/rates of pay is dependent upon your experience, qualifications or training.

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Data Scientist - Bristol (Hybrid 3 days office)
Full-time Permanent
Are you a data scientist who thrives on turning complex data into real commercial impact? Do you enjoy building scalable, repeatable solutions rather than one-off analysis? Are you excited by the opportunity to shape a product from the ground up? If so, this could be your next move.
We’re partnering with a fast-growing B2B SaaS business that blends behavioural science with cutting-edge data to help major consumer brands better understand and influence human behaviour. The product is already delivering strong results-and now the team is scaling it to the next level.
This is a rare opportunity to step into a role where data science, product, and customer insight all meet. You’ll be the key link between customers, product, and engineering-identifying valuable insights, shaping features, and helping embed them directly into a scalable SaaS platform.
The Role
You’ll work closely with Customer Success to uncover what clients actually need from their data, translate that into structured data science problems, and then design and prototype features that can be rolled out across the platform.
You’ll also work directly with Product and Engineering to turn prototypes into production-ready features, while engaging with customers to validate ideas and refine direction.
This is a highly visible role reporting into a Co-Founder, and will play a central part in shaping both the product roadmap and customer experience.
What you’ll be doing

Designing, prototyping, and testing data-driven product features

Translating business and customer needs into data science problems

Building clear, engaging data outputs that demonstrate value

Working with Product & Engineering to scale solutions across a SaaS platform

Presenting insights and prototypes to both technical and non-technical audiences

Gathering and analysing customer feedback to influence product direction

Supporting Customer Success and Marketing with customer value storytelling

Helping prioritise product development based on data and customer insight

Occasionally supporting client-facing delivery and professional services work

What we’re looking for

Strong Python skills for data science (pandas, seaborn, plotly)

Experience turning data into clear, engaging business insights

Confidence working across product, engineering, and customer teams

Ability to translate business needs into structured technical requirements

Strong communication skills, including presenting to non-technical stakeholders

A proactive mindset-you don’t wait to be told what to do

Excellent organisation and attention to detail

Nice to have

Experience building production-level code

Background in marketing analytics or campaign data

Product management exposure

Experience with geospatial data

A/B testing knowledge

Docker or containerisation experience

Linux / Bash familiarity

Experience delivering training or customer enablement sessions

Why this role?
This is a chance to join a small but ambitious team building something genuinely novel in behavioural science and marketing analytics. The product already has strong traction, and the next stage is about scaling impact, deepening capability, and pushing the boundaries of what’s possible in data-driven marketing.
If you want a role where your work directly shapes a product-and where data science sits at the heart of commercial value-this is one to explore.

Please apply by sending your CV to (url removed)

Product Data Scientist Location: Remote - UK Type of role- 6 Months contract with potential extension Payrate - £498 - £679 Per Day Inside IR35 We're hiring a Data Scientist to join a globally recognised audio streaming platform, supporting their experimentation and analytics ecosystem. This is a fantastic opportunity to work on a high-impact product used to power A/B testing and data-driven decision-making at scale. This role sits within a fast-paced analytics team and is focused on hands-on data analysis, experiment monitoring, and stakeholder reporting rather than machine learning or research work. What you'll be doing: Build and maintain dashboards tracking experiment performance and platform adoption Analyse A/B tests, ensuring data quality, validity, and actionable insights Perform deep-dive and ad-hoc analysis on experiment health and user behaviour Work closely with product, engineering, and data teams to support decision-making Translate complex data into clear, impactful narratives for stakeholdersWhat we're looking for: Strong SQL skills (essential) with experience working on large datasets Solid Python experience (pandas, NumPy) for data analysis Strong understanding of A/B testing and experimentation concepts Experience with BI tools (Tableau, Looker, or similar) Ability to work independently in a distributed team environmentNice to have: Experience with BigQuery and dbt Exposure to experimentation platforms (e.g., Optimizely, LaunchDarkly) Familiarity with experiment quality frameworks or advanced testing methodsIf you're a hands-on analyst who enjoys working with data at scale and driving insights through experimentation, this could be a great fit. 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

LCP Delta are looking for a Power Market Analytics Developer to join our short-term energy markets practice. This is an opportunity to work at the intersection of power market expertise, software development and data analysis, helping to shape the evolution of our market-leading trading platform, Enact.

You will play a key role in transforming ideas about how power market data should be analysed and visualised into real features used daily by traders, analysts and asset owners across the GB power market. Coding is a central part of this role: you will help build both back-end data systems and front-end visualisations, turning market insight into powerful analytical tools.

From early on, you will have the opportunity to take ownership of ideas, influence the direction of the platform and build solutions that directly impact how market participants understand power market dynamics.

LCP Delta’s Short-Term Power Markets Team

The power markets practice at LCP Delta sits across several teams, including Power Trading, Storage, and Power Modelling.

Enact is LCP Delta’s market-leading data visualisation, analytics and forecasting platform for short-term power markets. The platform is used by the majority of the GB power market to monitor minute-by-minute changes in day-ahead, intraday and balancing markets.

Through the platform and our regular client engagement, we help traders, analysts and asset owners better understand market behaviour and make more informed decisions.

While you will collaborate with multiple teams across LCP Delta, your day-to-day work will primarily involve developing and enhancing the Enact platform, working closely with developers, analysts and market specialists.

What will you be doing?

Your work will combine software development, market analysis and product thinking.

Developing Enact

You will play an active role in shaping the future direction of Enact, our short-term power markets analytics and visualisation platform. This includes:

• Designing, coding, and building data visualisations and analytical tools that help traders and asset owners interpret market behaviour
• Translating ideas for new metrics, datasets and visualisations into production software through code
• Developing across our technology stack, primarily:
  • C# backend services
  • Vue.js frontend visualisations
• Working closely with other developers and analysts to design features that are both technically robust and commercially valuable
• Taking ownership of ideas and features, from concept through to implementation and release
• Applying power market knowledge when adding new datasets, metrics and analytical tools to ensure they are useful and relevant to market participants
• Contributing ideas that shape the future direction of the platform, with the opportunity to make a real impact early on
• Coding is a core part of the role, and you will spend a significant proportion of your time developing new features and analytics within the Enact platform. C# experience is desirable but not essential; we are happy to train candidates who show a strong coding aptitude

Market Analysis and Insight

Alongside development work, you will also contribute to data analysis and market insight, including:

• Analysing market data to identify and explain key drivers behind market events and price movements
• Exploring interesting market behaviour and developing new metrics or visualisations to explain it
• Supporting market studies and deep dives into important developments in the GB power market
• Contributing to client discussions, presentations and written analysis
• Python skills are beneficial here, particularly for data analysis using tools such as pandas and numpy

Staying Close to the Market

Understanding how power markets evolve is essential to building useful analytics

You will therefore:

• Track developments across wholesale, balancing and ancillary service markets
• Attend market webinars, events and conferences
• Engage with industry participants to understand the challenges traders and asset owners are facing
• Use this knowledge to inform the design of new analytics and visualisation tools

What skills, experience and qualities are we looking for?

We are looking for someone who combines technical curiosity, analytical thinking and an interest in energy markets.

• A relevant BSc, MSc or PhD, or equivalent experience
• Strong problem-solving skills, with the ability to translate real-world market questions into analytical tools
• Coding experience in C#, Python or another modern programming language
• An interest in building software, dynamic visualisations, and data tools - coding will form a significant part of the role
• An interest in understanding what drives power market dynamics
• The ability to think critically about market behaviour and data
• Strong data analysis and communication skills
• Commercial awareness and the ability to think about what insights and tools will be valuable to clients
• Collaborative and team-oriented working style
• Experience with C# is beneficial but not required - we are happy to teach this on the job for candidates with strong programming fundamentals

What’s in it for you?

Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes:

For you:

• Hybrid working (varies by role and department)
• professional study support (where applicable)
• Access to our internal Wellbeing, LGBTQ+, Multicultural and Women’s networks

For your family:

• Life assurance (6 x salary)
• Income protection
• Enhanced maternity/paternity/adoption and shared parental leave

For your health:

• 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday
• Private medical insuranceDiscounted gym memberships, critical illness and d

BREEDON GROUP PLC is a leading construction materials group operating from over 400 sites across the UK, Ireland and US.

We are growing! At Breedon we have an opportunity to join our Data & Analytics Team with an exciting plan and long-term vision. We are seeking an experienced Data Engineer, with skills in Microsoft Azure and SQL,to take the contribute to the design, build and deployment of our Azure data platform in line with our enterprise architecture.

Key Responsibilities

As we set out on the journey of moving towards a data led organisation, we have identified the need for an individual to transform our data management capabilities, implementing and maintaining a new Azure data platform which will enable our ambitions to become a data driven business.

We are looking for an experienced individual who can support in the design and implementation of the data platform strategy and architecture that aligns with business objectives and building robust data pipelines. This will include the provision of a platform for analysts, data scientists and engineers, providing them with the data and an environment from which they can fulfil their roles. By investing in our data platform, we will transform the way we work, making us more effective, efficient and profitable for the future. We are looking to exceed the requirements set out by our stakeholders.

Skills, Knowledge & Expertise

Experience and knowledge:

• Proven experience in data engineering and cloud data platform development, with a strong focus on Microsoft Azure
• Demonstrated track record of designing, building, and maintaining end-to-end data pipelines using Azure-native technologies, including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics and/or Databricks.
• Strong foundation in data modelling and data warehousing concepts (star/snowflake schemas, SCD2, Dimensions/Facts)
• Proficient in SQL and Python, with hands-on experience using PySpark, Spark SQL, and/or Pandas.
• Experience in technical documentation of migration processes, data mappings, data quality checks, and testing outcomes.
• Ability to work closely with business stakeholders, translating business and technical requirements into effective data transformation and modelling solutions
• Exposure to DevOps and CI/CD practices including source control, automated deployments and environment promotion. (desirable)
• Working knowledge of APIs (REST/SOAP) and common integration patterns (desirable)
• Working Knowledge of other Azure Integration tools like Azure Functions, Azure Logic Apps, API Management, Service Bus, Event Grid (desirable).
• Experience working with semi-structured data formats such as JSON and XML (desirable)

Skills:

• Tenacious and curious nature that enables uncovering data availability and data quality constraints early in the process
• Problem solving - the ability to identify creative solutions to overcome problems
• Ability to impart knowledge and offer options to colleagues across the group
• Working with multiple data sources at one time delivering solutions that enable insights into complex data sets

Personal Attributes:

• Ability to work to tight deadlines
• Ability to think and act purposefully and methodically
• A partnership approach to working with a variety of stakeholders
• Ability to keep it simple and to make it happen
• Thirst for continuous improvement
• Strong communication and engagement - ability to communicate calmly under pressure
• Positive and open outlook

Job Benefits

• 25 days holiday plus bank holidays
• Contributory Pension Scheme
• Free on-site Parking
• Holiday Buy Scheme
• Volunteer Scheme
• Share Save Scheme
• Life Assurance
• Enhanced Maternity, Adoption & Paternity Scheme
• Health & Wellbeing Initiatives
• Discount Scheme

Training: Full in-house training provided by the hiring company, no experience required. About the Role: Our client, a growing company working in the AI and data space, is hiring Graduate AI Data Scientists to join their team in London. This is an entry-level opportunity suitable for recent graduates or early-career candidates looking to start a career in AI and data science, with full training provided. As a Graduate AI Data Scientist, you will work closely with cross-functional teams to support the analysis of datasets, assist in building predictive models, and contribute to delivering insights that support business decisions and AI product development. Key Responsibilities: • Assist in collecting, processing, and analyzing datasets from various sources • Support the development, training, and validation of machine learning models • Perform exploratory data analysis to identify trends, patterns, and insights • Collaborate with data engineers, machine learning engineers, and product teams • Help communicate findings and model results to both technical and non-technical stakeholders • Stay up-to-date with the latest developments in AI, machine learning, and data science Essential Skills & Qualifications: • Basic understanding of statistics, data analysis, and machine learning concepts (e.g., regression, classification, clustering) • Exposure to data preprocessing, cleaning, and feature engineering (e.g., through academic or personal projects) • Ability to work with structured and unstructured data at a foundational level • Awareness of ethical considerations in AI • Degree in Computer Science, Mathematics, Statistics, Data Science, or a related discipline — or equivalent practical experience • Good communication skills with the ability to explain concepts clearly Desirable Skills (training provided where necessary): • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) • Basic knowledge of SQL and working with databases • Awareness of cloud platforms such as AWS, Azure, or Google Cloud • Understanding of AI ethics, data privacy, and compliance considerations • Experience with Python and data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib What We Offer: • Starting salary of £42,000 per annum with opportunities for growth • Comprehensive full in-house training program provided by the hiring company • Exposure to real-world AI projects and practical applications • Supportive and collaborative working environment • Flexible work options, with office locations in London • Clear career development paths with ongoing mentorship and support How to Apply: If you’re ready to start your career in AI and data science with full training and support, we’d love to hear from you. Please submit your CV and a cover letter explaining your interest and any relevant academic or project experience

We are seeking a detail-oriented and technically skilled AI & Data Process Intelligence Analyst with 3+ years of experience in automation and intelligent process improvement.

In this role, you will design, develop, and deploy AI-enabled automation solutions, leverage process mining techniques to identify optimisation opportunities, and apply data-driven insights to enhance operational efficiency across the business.

This position sits at the intersection of automation, data analysis, and applied machine learning. You will work closely with business stakeholders to deliver scalable and practical solutions.

Key Responsibilities

• Apply AI and automation techniques to streamline and improve operational processes.
• Develop dashboards and performance reports using Power BI to support data-driven decision making.
• Use prototyping and design tools (e.g. Google Gravity, Figma Make) to design, document, and optimise process workflows and automation solutions.
• Build and integrate machine learning models (e.g. classification, prediction, and optimisation) into automation workflows where appropriate.
• Analyse structured and unstructured data using Python and SQL to validate business problems and quantify potential process improvements.
• Collect, clean, and prepare operational data from multiple sources for analysis and modelling.
• Collaborate with business stakeholders to gather requirements and translate them into scalable automation and AI solutions.
• Monitor deployed automations and AI models to ensure ongoing performance, accuracy, and reliability.
• Document solutions, maintain governance standards, and adhere to best practices for automation lifecycle management.

Required Experience & Skills

• 3+ years of experience in automation engineering, intelligent process automation, AI/ML implementation, digital transformation, or a similar technical role.
• Strong proficiency in Python and SQL for data analysis and automation development.
• Hands-on experience with RPA and workflow automation tools (e.g. Power Automate, UiPath).
• Practical experience developing and deploying machine learning models in Python (e.g. scikit-learn, pandas).
• Experience working with APIs and integrating systems across business platforms.
• Strong analytical thinking and problem-solving skills with the ability to translate complex data into actionable insights.