Join us as a Transcription Specialist and contribute to improving AI-driven speech recognition. You will review audio files, transcribe spoken content accurately, and refine transcripts to ensure high-quality data that supports the development of advanced language models.

Project Benefits

• Flexible hours – Work on your own schedule
• Remote – Work from anywhere
• Fair pay globally – Always above minimum wage in your market
• Scalable earnings – The more you work, the more you earn

Task Summary (What to Expect)

• Review and modify machine-generated audio segmentation and transcriptions
• Ensure all transcriptions meet quality standards for AI speech-recognition development
• Follow detailed project guidelines as an AI Specialist
• Work flexibly and comfortably while contributing top-quality data

Contributor Requirements

• Proficient in Welsh (spoken and written)
• Good listening and attention to detail
• Reliable internet connection
• Laptop or desktop (no mobile devices)

This is a long-term opportunity where you can continue working on available tasks over time. The more tasks you complete, the more you earn, allowing you to increase your earnings based on your availability and productivity.

Payments

You will be paid at the agreed hourly rate (depending on your location), and all work must meet the required quality standards. You may complete as many tasks as your availability allows.

This is a project-based opportunity with CrowdGen, where you will join the CrowdGen Community as an Independent Contractor. If selected, you will receive an email from CrowdGen with instructions to create your account, complete setup requirements, and proceed with participation in the project.

If you’re passionate about precision, language, and AI innovation — we’d love to have you on the team

$19 - $19 an hour

Payments for the project will be based on the actual time spent.

#crowdgen

This opportunity is open for residents of most countries. However, due to local regulations, we are unable to offer this project for US residents living in California, Hawaii, New York, Massachusetts, New Jersey, or Nevada.

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.

Job Title - Data Scientist

Location - Nottingham

Work pattern - Hybrid - 2 times a month in the office.

Salary - Up to £60,000

The Opportunity

We are seeking a mid-level Data Scientist with strong experience in Python for a new role in Nottingham.

You will be part of a small, but close team that covers Data Science, Business Intelligence and Analytics

It is hybrid, 2 days a month in the office (so very flexible), but we are looking for someone with a sensible commute to Nottingham.

The Role

In this position you will work across a range of analytical and machine learning tasks, partnering with stakeholders to solve real business problems and support data-driven decision-making.

The business have 4-6 ML models in production, one of which is an award-winning. Generally these models are in the finance and risk areas - any experience of this would be a bonus, but certainly not essential.

In addition they have number of side projects for you to get involved with, working with colleagues to deliver advanced analytics and insights.

This is a perfect role for someone who can engage confidently with stakeholders, work both independently and within a small team on defined analytical problems, can clearly communicate insights, and is comfortable contributing to production-ready data science solutions.

Role Responsibilities:

Develop, test, and maintain data science solutions using Python

Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities

Apply statistical and machine learning techniques to address business questions

Use segmentation and clustering techniques where appropriate to support insight generation

Interpret model results and communicate insights clearly to technical and non-technical audiences

Support model validation, documentation, and ongoing monitoring

Contribute to continuous improvement of data science standards, tools, and ways of working

Requirements:

3 plus years in industry as a data scientist

Strong Python proficiency, including:

Solid understanding of statistics and machine learning fundamentals

Experience working with structured data and SQL

Ability to communicate analytical findings clearly and confidently

Experience supporting machine learning models in production environments

What We Offer

Collaborative, people-first culture

Hybrid working arrangements (requirement to travel to the office 2 days per month)

25 days holiday + bank holidays

Yearly bonus scheme

Contributory Pension scheme

Job Title - Data Scientist

Location - Nottingham

Work pattern - Hybrid - 2 times a month in the office.

Salary - Up to £60,000

Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy.

To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

TPBN1_UKTJ

£70,000 to 85,000 GBP
Hybrid WORKING
Location: Nottingham, East Midlands - United Kingdom Type: Permanent

AWS Connect Engineer

Location: Nottingham (Hybrid - 3 days per week onsite)

Salary: Up to £85,000 + package

We are seeking a hands-on AWS Connect Engineer to join a Customer Experience Technology team supporting the evolution of a modern cloud contact centre platform within a regulated financial services environment.

This role sits at the heart of a major transformation programme, focused on delivering smarter, more secure, and more personalised customer interactions using Amazon Connect and AWS-native services.

Role Responsibilities

• Design, build, and maintain Amazon Connect contact flows and routing logic aligned to complex customer journeys
• Develop and enhance AI-powered IVR, agent assist capabilities, and real-time analytics using AWS services
• Integrate AWS Connect with core enterprise systems, CRM platforms, and external services using APIs and event-driven architectures
• Implement secure, compliant workflows including authentication, call recording controls, and data protection mechanisms
• Ensure all solutions meet regulatory standards including PCI-DSS, GDPR, and financial services compliance requirements
• Build reporting and analytics solutions using Contact Lens and Connect Analytics for operational and regulatory insight
• Support outbound communication campaigns in line with regulatory obligations
• Develop infrastructure-as-code using Terraform or CloudFormation with strong governance and change control
• Participate in disaster recovery and business continuity testing and planning

Required Experience

• Strong hands-on experience with Amazon Connect
• Experience working in regulated environments (financial services, fintech, or similar)
• Knowledge of contact centre architecture including IVR design, routing, and CCaaS platforms
• Experience integrating systems using AWS Lambda, API Gateway, and REST APIs
• Proficiency in Python or Node.js for serverless development
• Understanding of regulatory frameworks such as GDPR, PCI-DSS, and FCA requirements
• Experience with Contact Lens or similar analytics and quality monitoring tools
• Experience with Terraform or CloudFormation in production AWS environments

Desirable Experience

• Exposure to core banking or financial CRM systems
• Experience with secure authentication and fraud prevention workflows
• Familiarity with compliance-driven contact centre operations

This is an excellent opportunity for an engineer who enjoys working at the intersection of cloud technology, customer experience, and regulated enterprise environments, with the ability to directly influence how customers engage with a major financial organisation.

For more information or a confidential discussion, please get in touch.

Reference: AMC-AQU-ACEC

Postcode: NG1

#adqu

Machine Learning Engineer - Contract

Location: Nottingham, UK (Hybrid)
Salary: £500 – £600 p/d (depending on experience)

About the Role

We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems.

Key Responsibilities

• Design, develop, and deploy machine learning models and pipelines in production environments
• Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions
• Optimize model performance, scalability, and reliability
• Build and maintain data pipelines and feature engineering workflows
• Monitor and retrain models to ensure continued performance over time
• Implement best practices for version control, testing, and CI/CD in ML systems
• Stay up to date with the latest advancements in machine learning and AI technologies

Required Skills & Experience

• Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience deploying ML models using cloud platforms (AWS, Azure, or GCP)
• Solid understanding of machine learning algorithms, data structures, and software engineering principles
• Experience with data pipelines, APIs, and microservices architecture
• Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes
• Strong problem-solving skills and attention to detail

Desirable Skills

• Experience with big data technologies (e.g., Spark, Hadoop)
• Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow)
• Experience working with NLP, computer vision, or recommendation systems
• Understanding of data governance and security best practices

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience)

What We Offer

• Competitive rate
• Flexible working arrangements (hybrid/remote options)
• Collaborative and innovative work environment
• Access to cutting-edge tools and technologies

How to Apply

Please submit your CV and a brief cover letter outlining your experience and interest in the role.

Job Title - Data Scientist Location - Nottingham Work pattern - Hybrid - 2 times a month in the office. Salary - Up to £60,000 The Opportunity We are seeking a mid-level Data Scientist with strong experience in Python for a new role in Nottingham. You will be part of a small, but close team that covers Data Science, Business Intelligence and Analytics It is hybrid, 2 days a month in the office (so very flexible), but we are looking for someone with a sensible commute to Nottingham. The Role In this position you will work across a range of analytical and machine learning tasks, partnering with stakeholders to solve real business problems and support data-driven decision-making. The business have 4-6 ML models in production, one of which is an award-winning. Generally these models are in the finance and risk areas - any experience of this would be a bonus, but certainly not essential. In addition they have number of side projects for you to get involved with, working with colleagues to deliver advanced analytics and insights. This is a perfect role for someone who can engage confidently with stakeholders, work both independently and within a small team on defined analytical problems, can clearly communicate insights, and is comfortable contributing to production-ready data science solutions. Role Responsibilities: · Develop, test, and maintain data science solutions using Python · Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities · Apply statistical and machine learning techniques to address business questions · Use segmentation and clustering techniques where appropriate to support insight generation · Interpret model results and communicate insights clearly to technical and non-technical audiences · Support model validation, documentation, and ongoing monitoring · Contribute to continuous improvement of data science standards, tools, and ways of working Requirements: · 3 plus years in industry as a data scientist · Strong Python proficiency, including: · Solid understanding of statistics and machine learning fundamentals · Experience working with structured data and SQL · Ability to communicate analytical findings clearly and confidently · Experience supporting machine learning models in production environments What We Offer · Collaborative, people-first culture · Hybrid working arrangements (requirement to travel to the office 2 days per month) · 25 days holiday + bank holidays · Yearly bonus scheme · Contributory Pension scheme Job Title - Data Scientist Location - Nottingham Work pattern - Hybrid - 2 times a month in the office. Salary - Up to £60,000 Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Location:Nottingham

Work Model:Hybrid - 3 days per week on site

Salary:Up to £85,000

Who youll be working with

Join a cross-functional Customer Experience tech team delivering a cloud contact centre platform for a financial services organisation. Youll work closely with Engineering, Security, Risk, and Product teams in a highly regulated, enterprise environment.

What youll be doing

A hands-on engineering role where youll:

• Design and build Amazon Connect contact flows and routing logic
• Deliver AI-driven capabilities (IVR, agent assist, Contact Lens)
• Integrate Connect with CRM, banking, and risk systems via APIs & Lambda
• Own real-time and historical reporting for ops and compliance
• Ensure solutions meet FCA, GDPR, and PCI-DSS requirements
• Support outbound campaigns and customer communication workflows
• Manage IaC deployments (Terraform/CloudFormation)
• Contribute to resilience, DR, and platform optimisation

What we need from you

• Strong hands-on Amazon Connect experience
• Background in regulated environments (FS, fintech, etc.)
• Experience building secure, compliant contact flows
• Integration experience using AWS Lambda, APIs, event-driven patterns
• Proficiency in Python or Node.js
• Knowledge of Contact Lens, reporting, and analytics
• Experience with Terraform or CloudFormation
• Good understanding of FCA/GDPR in customer contact environments

Whats in it for you

• End-to-end ownership of a modern cloud contact centre platform
• Exposure to AI-driven customer experience tech
• Complex, regulated environment with real impact
• Collaborative, cross-functional team

Our client is a fast-growing, award-winning UK business with a strong reputation for both performance and employee satisfaction. They are investing heavily in AI and automation, with a number of internal tools already in place and ambitious plans to expand further.

The Role

This is a hands-on role focused on turning business challenges into practical solutions. Youll build and deploy tools, automate workflows, and develop dashboards that improve efficiency across the organisation. Working closely with both technical and non-technical teams, youll identify opportunities for improvement and deliver scalable, AI-assisted solutions. This is a visible role requiring strong communication skills and a proactive, problem-solving mindset.

Key Responsibilities

• Analyse business processes and identify automation opportunities
• Build internal tools, dashboards, and data pipelines
• Integrate systems using APIs and data feeds
• Develop AI-powered features to improve workflows and insights
• Support rollout, training, and ongoing system improvements

About You

• 35 years experience in a technical role (development, data, or solutions)
• Strong understanding of programming concepts and integrations
• Experience working with APIs, data, and databases
• Familiarity with AI tools and where they add value
• Confident communicator, able to work with non-technical stakeholders
• Self-sufficient, solutions-focused, and comfortable owning projects
• Experience with Laravel, Python, or similar- though we are genuinely language-agnostic given our AI-assisted approach

Whats on Offer

• High-impact role with real ownership
• Opportunity to shape AI and automation strategy
• Collaborative, supportive team environment
• A business actively investing in technology and innovation

Benefits:

• Excellent career development
• Training budget
• Hybrid working - 1- 2 days office based

Interested? Please Click Apply NowAI Solutions Engineer

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.

About the job.

As part of the development of our Digital Services function, we are recruiting to strengthen our internal digital capability. These roles are central to building sustainable in-house expertise that supports the design, development, and delivery of digital solutions across the transport network.

A key focus of this campaign is creating new opportunities. As a result, we are recruiting a Principal Machine Learning Engineer to play a leading role in shaping the future of digital services across National Highways.

Our Digital Lab designs and manages innovative data products and services in-house, while building external partnerships and increasing adoption of our digital assets to improve customer journeys, support the Strategic Road Network, and enable emerging technologies such as connected and autonomous vehicles.

As Principal Machine Learning Engineer, you will lead the strategic direction, risk management, and continuous improvement of production AI/ML products and services that support critical business decision-making. Working closely with Digital Services teams and senior stakeholders, you will define and deliver machine learning strategies that maximise adoption and unlock value from our £69 billion data assets. You will ensure solutions are commercially sustainable, technically robust, and designed around user needs and experience.

This is a hybrid role based at any National Highways office location, with an expectation to attend the office for two days per week, including weekly travel to collaborate with the team

Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data-driven decision making across the business.

Own service performance and continuous improvement, ensuring robust IT Service Management, regulatory compliance, model risk management, ethical AI standards, and ongoing enhancements to user experience, efficiency, scalability, and cost of operation.

Define and deliver the AI/ML Ops platform strategy and roadmap, implementing modern engineering practices and leading-edge techniques to enable rapid, scalable, and cost-effective delivery of machine learning services.

Build and lead senior stakeholder relationships across directorates, working with Directors and business leaders to manage service performance, prioritise demand, shape delivery backlogs, and influence future digital strategy both internally and externally.

Provide effective operational leadership of the team, ensuring adherence to governance and compliance frameworks including budget management, forecasting, business planning, delivery controls, data governance, audit, communications, and people policies.

About you.

Strong stakeholder management and influencing skills, with the ability to build credible relationships at senior levels, navigate complex environments, and secure positive outcomes across multiple priorities.

Proven experience leading data innovation and systems integration, including developing and improving AI/ML products, platforms, or digital services that deliver measurable user and business value.

Strategic mindset with the ability to turn insight into action, using evidence, data, and organisational priorities to shape plans, inform decisions, and drive successful outcomes.

Excellent understanding of governance and risk management, with experience applying controls and standards across areas such as model risk, data governance, security, audit, and responsible or ethical AI.

Commercial and operational leadership experience, including managing budgets, supplier performance, financial governance, and delivering cost-effective services or large-scale programmes that achieve value for money.

About us.

Here at National Highways, we manage and improve England’s motorways and major A roads, helping our customers have safer, smoother and more reliable journeys. Our priorities are safety, customers and delivery, and at the core of this, are our values of passion, integrity, safety, teamwork and ownership.

The Digital Services Directorate is helping to reshape the way National Highways operates by delivering digital, data, and technology services across all areas, from frontline to back office, in a modern and efficient manner. Our vision is to develop integrated information and technology that empowers our colleagues and provides real-time information to our customers, as well as integrating with intelligent vehicle and transport systems as they evolve, to enhance journey safety and reliability.

External candidates will be offered a starting salary at the lower end of the pay scale, while current employees will be appointed in accordance with our established pay policy.

We are committed to creating a diverse environment and welcome applicants from all backgrounds.

TPBN1_UKTJ

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

Senior Data Engineer

Up to £100,000 + BenefitsRemote - UKThis is a great opportunity to join a high-growth organisation where you can take ownership of end-to-end data engineering projects and play a key role in shaping a modern, scalable data platform.THE COMPANY:This a next-generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.THE ROLE:You will take ownership of the full data engineering lifecycle.Key responsibilities include:

• Owning end-to-end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production-grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home-office setup. HOW TO APPLY:Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI successStep 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.

ANALYTICS ENGINEER - 12 month FTC

£75,000 + BENEFITS

PRIMARILY REMOTE

THE COMPANY:

This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive work-life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise

THE ROLE:

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership.

Key responsibilities include:

• Designing and building curated datasets using dimensional and semantic modelling techniques
• Developing and maintaining SQL and PySpark transformation pipelines
• Partnering closely with Data Engineers
• Translating business requirements into clear, well-documented data models

YOUR SKILLS AND EXPERIENCE:

• Advanced SQL, including complex transformations and modelling
• Databricks
• PySpark and working within a Lakehouse or modern data platform
• Dimensional modelling and analytics engineering best practices
• Communicating effectively with both technical and non-technical stakeholders

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Why choose us?BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the BRUSH brand has stood for engineering excellence. We are committed to supporting the global effort for industrial decarbonisation and sustainable development and have set ambitious objectives to achieve our target of net zero greenhouse gas emissions by 2050. What’s the role?The role is part of the BRUSH Group IT Leadership team with purpose of the role to shape and execute BRUSH’s data and artificial intelligence (AI) strategy. The role is responsible for ensuring that data is effectively managed, governed and leveraged, while driving AI innovation to enhance business performance and operational efficiency.The role holder will establish a data driven culture, integrating AI powered insights and automation into business processes. They will oversee implementation of a data warehouse, data governance, advanced analytics and AI adoption ensuring solutions are secure and compliant and are implemented with required scalability. They will develop and define roadmaps and continual improvement of the organisations data, AI capabilities and data environment, including developing and leading a team data specialists.Key Responsibilities:

• Own and deliver the data & AI strategy / roadmaps / resource plans, defining the vision, outcomes and measurable values for the data environment ensuring alignment to business priorities.
• Develop and implement plans, policies and practices for effective data management and governance.
• Ensure the data infrastructure is stable, compliant, highly available.
• Team building and growth – design and lead a high performing, scalable IT data organisation with clear roles, leadership and accountability. This may be through the direct management of staff or third party solution providers.
• Define frameworks for decision making, risk management and compliance.
• Manage stakeholder relationships to achieve mutually beneficial, data driven outcomes.
• Be a core member of the BRUSH Technology change board, shaping new systems direction and ensuring all systems changes are aligned to data strategy.

What are we looking for:

• Substantial experience in a similar senior data/AI leadership role, including leadership of internal teams.
• Proven track record in delivering data strategy, implementing / managing data infrastructure environments.
• Strong understanding of current and emerging technology best practices and trends.
• Knowledgeable in governance, risk, compliance and controls related to data/AI.
• Experience in developing IT roadmaps aligned to Company and IT strategies.
• Demonstrable experience in influencing strategy, executing business plans effectively.
• Experience of IT procurement, licence renewals and vendor management.

What’s in it for you?

• Competitive salary
• Holiday allowance starting at 26 days per annum plus bank holidays (pro rata for part time roles)
• Flexible and Hybrid working options (role dependant)
• Life insurance – 4 x annual salary
• Enhanced Company Pension scheme
• 24/7 free and confidential Employee Assistance Programme
• GP24 Service – Access to remote, private GP services 24/7, 365 days a year plus Second Medical Opinions.
• BRUSHRewards – Discover plenty of ways to get more active and make great savings on everyday essentials as well as gifts for loved ones, holidays and special treats for yourself.
• Family friendly policies including Enhanced Maternity/Paternity
• Bike2work scheme
• Long Service Awards
• Developing our people is important to us - we support and encourage development by offering ongoing professional development and training.

About The OrganisationBRUSH Group provide agile and adaptive engineering solutions and products, including consultancy services, design, and project management as well as award-winning product technology, to a wide range of projects.A chosen partner for national and regional power generation and distribution network operators, through innovation and a commitment to delivering solutions that address grid-resilience and drive system change, we support the global drive to net-zero, helping create a future-proof Infrastructure.

An exciting opportunity has arisen to join a leading organisation delivering large-scale digital transformation within the customer experience space. This role sits within a high-performing technology team focused on modernising cloud contact centre platforms for a major financial services environment.

As an AWS Connect Engineer, youll play a key role in designing and evolving a cutting-edge cloud contact centre, leveraging the latest capabilities across the AWS ecosystem. This is a hands-on position where youll build intelligent, scalable solutions that enhance customer interactions through AI, automation, and real-time analytics. Youll be working on complex, high-impact systems that directly influence customer experience at scale.

Whats on offer

• Salary up to £85,000
• Comprehensive benefits package
• Hybrid working 3 days per week on-site in Nottingham
• Strong career progression opportunities within a growing technology function
• Ongoing training, certifications, and skill development opportunities

What you need

• Proven hands-on experience with Amazon Connect
• Strong background in contact centre engineering / CCaaS platforms
• Knowledge of integrating AWS Connect with external systems using AWS Lambda, APIs, and event-driven architectures
• Experience working in regulated environments (financial services, fintech, or similar)
• Understanding of compliance requirements such as PCI-DSS, GDPR, and FCA regulations
• Experience with Contact Lens for analytics, sentiment analysis, and compliance monitoring
• Proficiency in Python or Node.js for serverless development
• Experience with Infrastructure as Code (Terraform or CloudFormation)
• Solid understanding of contact centre operations, reporting, and workflows

Introduction

Join a cutting-edge engineering team building AI solutions that support the future of clean energy. This role sits at the heart of delivering secure, scalable AI products that drive real-world impact across complex, regulated environments.

Role Overview:

• Location: Derby (Hybrid – 2 days per week)
• Package: £42,000 - £55,150p/a + £2200 benefits allowance
• Industry: Clean Energy / Advanced Engineering / AI

What You’ll Be Doing:

• Design and deliver full-stack, cloud-native AI applications across front end, APIs, and data layers
• Build and deploy RAG-based and agent-driven AI systems using secure, governed data sources
• Develop scalable services on Azure, integrating with enterprise platforms and data pipelines
• Implement MLOps and AIOps capabilities including model lifecycle management, monitoring, and automation
• Embed security, compliance, and safety principles into every stage of development
• Collaborate within cross-functional product squads to deliver features end-to-end
• Contribute to platform best practices, documentation, and continuous improvement initiatives
• Support delivery in a highly regulated environment, ensuring auditability and high engineering standards

Main Skills Needed:

• Strong full stack engineering experience (React/TypeScript, Python, FastAPI, or Node.js)
• Proven experience building AI/ML systems, particularly RAG or agent-based architectures
• Solid Azure expertise (Azure ML, Azure OpenAI, Functions, AKS, CI/CD pipelines)
• Data engineering knowledge including pipelines, schema design, and observability
• Experience with software testing, performance optimisation, and production monitoring
• Understanding of secure development practices, identity access, and compliance frameworks
• Background working in regulated or safety-critical environments

What’s in It for You:

• Work on meaningful projects contributing to the future of sustainable energy
• Exposure to complex, high-impact AI challenges in a real-world setting
• Collaborative, cross-functional teams with strong technical leadership
• Opportunity to shape modern AI platforms and influence engineering standards
• Hybrid working with flexibility built in
• Long-term career growth within a forward-thinking, innovation-led environment

Curious? Apply now — or grab five minutes with us to hear more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 – £600 p/d (depending on experience)

About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems.

Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments

Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions

Optimize model performance, scalability, and reliability

Build and maintain data pipelines and feature engineering workflows

Monitor and retrain models to ensure continued performance over time

Implement best practices for version control, testing, and CI/CD in ML systems

Stay up to date with the latest advancements in machine learning and AI technologies

Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn)

Experience deploying ML models using cloud platforms (AWS, Azure, or GCP)

Solid understanding of machine learning algorithms, data structures, and software engineering principles

Experience with data pipelines, APIs, and microservices architecture

Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes

Strong problem-solving skills and attention to detail

Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop)

Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow)

Experience working with NLP, computer vision, or recommendation systems

Understanding of data governance and security best practices

Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience)

What We Offer Competitive rate

Flexible working arrangements (hybrid/remote options)

Collaborative and innovative work environment

Access to cutting-edge tools and technologies

How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.

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Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 – £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role

Job description

Robotic Vision Application Software Engineer

About the Role
We are seeking a driven Software Engineer to help pioneer new developments in robotic vision and controls technology- a strong proficiency in C+ development is essential.

In this position, you’ll focus on architecting, building, and validating PC-based software solutions for various robotic vision applications, working across a spectrum from experimental prototypes to refined production ready product releases.

This is not a work from home role and requires office based attendance.

Responsibilities

• Work closely with a small multi disciplinary team as the software lead to outline technical requirements and establish effective testing procedures.
• Produce maintainable, optimised code that aligns with technical specifications.
• Prepare and update comprehensive technical documentation that meets industry protocols.
• Participate actively in quality assurance, including software testing and peer code reviews.
• Accelerate concept development through fast prototyping and iteration.
• Troubleshoot and fix issues identified during field operations and deployments.
• Contribute to ongoing research and planning activities relevant to the position.
• Aid in handling and protecting intellectual property with the leadership team.
• Liaise with external collaborators and partners as directed by management.

Candidate Essentials

Eligibility

Candidates must be EU nationals or have permanent resident status in the UK.

Must-Have Skills & Background

• Bachelor’s degree in Software Engineering, Computer Science, or a comparable field.
• Solid hands-on experience programming in C+, for both Windows and Linux systems (preferred).

Valuable Skills & Qualities

• Skilled in developing software at a low level, preferring minimal reliance on third-party libraries.
• Previous experience working on real-time systems.
• Understanding of multi-threaded software design.
• Familiarity with technologies like OpenGL, GTK, and CMake.
• Demonstrated ability in building intuitive graphical user interfaces.
• Commitment to writing robust, well-tested code.
• Knowledge of quality standards and regulatory requirements in the software industry.
• Excellent communicator, comfortable conveying complex technical topics to varied audiences.
• Self-motivated and effective at managing multiple priorities and time lines.
• Willing contributor to broader research and strategic discussions.
• Quick learner who thrives with minimal supervision.
• Skilled with MS Office and confident preparing detailed written reports.
• Basic grasp of broader engineering or related industry domains.
• Fluent spoken and written English.

If shaping the future of robotic vision and imaging excites you, we’d love to hear from you!

Job Types: Full-time, Permanent

Pay: 40,000.00- 59,500.00 per year

Benefits:

• Company events
• Company pension
• Free parking
• Life insurance
• On-site parking
• Private medical insurance
• Profit sharing
• Sick pay

Work Location: In person

Reference ID: JO(phone number removed)

Cure Talent are delighted to be partnered with an emerging wearable medical technology company at a defining stage of its growth. Developing next-generation physiological monitoring solutions, this organisation is advancing its data science and sensing capabilities to deliver medical-grade insights beyond the hospital environment.

We have an opportunity for a Senior Data Scientist (Signal Processing) to join the team and play a key role in developing algorithms and modelling techniques used to interpret complex physiological data from non-invasive wearable sensors.

This is a hands-on, technically focused role working at the intersection of signal processing, machine learning, and physiology, translating real-world sensor data into clinically meaningful insights.

Key responsibilities

• Design and implement signal processing pipelines to analyse non-invasive physiological data
• Develop algorithms and models to extract clinically relevant cardiorespiratory and haemodynamic metrics
• Analyse complex time-series data from wearable sensors, including noisy real-world signals
• Support experimental design and analyse data from internal testing and controlled clinical studies
• Collaborate with engineering, data science, and clinical teams to integrate algorithms into products

Experience and skills required

• Strong experience in signal processing and analysis of time-series or physiological data
• Experience developing algorithms or models using MATLAB, Python, or similar high-level tools
• Understanding of techniques such as filtering, noise reduction, and feature extraction
• Experience working with non-invasive physiological signals (e.g. ECG, PPG, respiratory data)
• Ability to design experiments and work with real-world and clinical datasets

Nice to have

• Experience working with wearable sensors or digital health technologies
• Exposure to machine learning techniques applied to signal or physiological data
• Understanding of cardiorespiratory physiology or haemodynamics
• Experience translating algorithms into production or embedded environments
• Familiarity with C/C++ or similar for deployment

If youre a Data Scientist with strong signal processing experience and an interest in applying your work to real-world physiological challenges, wed love to hear from you.