Data Engineer - TV Advertising Data (FAST)

Location: London - 3 days onsite
Salary £75,000 - £85,000 Neg DOE
Reference : J13057

Note: Full and current UK working rights required for this role

We’re currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content.

Key Responsibilities
·Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets
·Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Microsoft Fabric environment
·Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics
·Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis
·Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem
·Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews
·Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution
·Translate business and analytical needs into well-structured data models and technical solutions
·Automate data workflows to minimise manual processes and improve operational reliability
·Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers
·Stay current with data engineering best practices, particularly within the Microsoft technology stack

Skills & Experience
·5+ years’ experience working as a Data Engineer or in a similar role
·Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv);
·Strong proficiency in Spark SQL and PySpark, including complex transformations
·Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent
·Ability to write efficient, reusable scripts for transformation, validation, and automation
·Hands-on experience integrating data from APIs (REST, JSON), including automated data collection
·Solid understanding of data modelling best practices for analytics and dashboards
·Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs)
·Strong problem-solving skills and the ability to diagnose and resolve data issues
·Excellent communication skills and experience working with cross-functional teams
·Genuine curiosity about how data drives content performance, audience behaviour, and monetisation

If this sounds like the role for you then please apply today

JOB- Machine Learning Engineer

LOCATION- Reading

TERM- Permanent

SALARY- £60,000 to £90,000 per annum (plus benefits)

My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand their technical team by hiring a Machine Learning Engineer to support the development and deployment of intelligent systems from their offices in Reading.

The Machine Learning Engineer will ideally have the following attributes:

Knowledge / experience in Machine Learning, Artificial Intelligence, or Data Science

A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence or similar

Strong programming skills in Python

Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn

Experience working with large datasets and building data pipelines

Knowledge of cloud platforms such as AWS, Azure, or GCP would be beneficial

Experience deploying machine learning models into production environments

Understanding of APIs, data processing frameworks, and software development best practices

Ability to work both independently and as part of a collaborative technical team

Excellent communication skills (both verbal and written)

Keen to develop technically and grow within a fast-paced environment

The Machine Learning Engineer role will involve:

Working within the existing data and engineering teams to develop machine learning solutions

Designing, building, and deploying machine learning models

Preparing and processing datasets for model training and evaluation

Improving model performance through experimentation and optimisation

Collaborating with software engineers to integrate ML solutions into applications

Researching and implementing new machine learning techniques where appropriate

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

TPBN1_UKTJ

Software Engineer / Developer (JavaScript / TypeScript Node) Remote UK to £50k

Would you like to work on complex and interesting AI based systems with a team of tech entrepreneurs?

You could be joining a growing start-up that is utilising Machine Learning and AI technology to revolutionise fish farming, improving fish health and growth; their carbon neutral technology is already making a difference in Scotland, Chile, Canada, Australia, Spain and Norway and the company has ambitious growth plans.

As a Software Engineer you will work on a range of projects across the technology stack, primarily using JavaScript / TypeScript and Node.js (with React on the front end). You’ll be developing software solutions that will be used by farms globally, building complex backend systems as well as developing data visualisations and dashboards that transform real time data from the IoT platform into actionable insights.

There are excellent career progression opportunities as the company continues to scale; you’ll be an integral part of a small, distributed team.

Location / WFH:

You can work from home remotely from anywhere in the UK, there is also flexibility to work abroad for periods throughout the year and flexible start and finish times. There are two company ‘kick-off’ meetings per year at great destinations for a week at a time.

About you:

You have strong JavaScript / TypeScript skills

You also have experience of using Node

You’re proactive, keen to contribute ideas and continually develop your skills

You’re able to work independently whilst collaborating with a remote, international team in an Agile environment

You’re likely to be degree educated in a STEM discipline

What’s in it for you:

Salary to £50k

Remote working (including abroad)

Paid for training and certifications

Home office budget

Bi-annual company kick-offs

Pension

Apply now to find out more about this Software Engineer / Developer (JavaScript / TypeScript Node.js) remote opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

TPBN1_UKTJ

Job Title: RPA & Data Automation Developer
Contract Type: 6 month contract
Inside IR35 - £550-£700 per day (umbrella rate)
Location: Hybrid working - Surrey

Are you ready to take your career to the next level in the world of Robotic Process Automation (RPA) and Data Automation? We’re on the lookout for a passionate RPA & Data Automation Developer to drive efficiency, improve data quality and deliver actionable insights. If you thrive in a collaborative environment and enjoy working with cutting-edge technologies, we want to hear from you!

Key Responsibilities:

• Data Design & Preparation: Design processes for preparing, enriching, and documenting data using semantic models, Lakehouses and data warehouses to enable insightful analysis.
• Automation Proficiency: Utilize multiple automation technologies, including AI, ML, Power Automate and Power Apps, to streamline data access and empower developers and analysts.
• Transform & Test Data: Transform and rigorously test data using dataflows, procedures and notebooks to design user-friendly visualizations that uncover valuable insights.
• Data Storage Solutions: Implement robust storage and querying strategies for Lakehouses and data warehouses, ensuring a single version of the truth across the organization.
• Stakeholder Communication: Engage with both technical and non-technical stakeholders to understand business requirements and communicate potential insights effectively.
• Quality Assurance: Conduct careful testing of data lists and aggregations, creating UAT parameters and checklists to ensure accuracy and enable business sign-off.
• Collaborative Governance: Work alongside other team members to design and document solutions while establishing strong governance and control processes.
• Data Flow Analysis: Analyze and document data flows to meet corporate standards, ensuring reusability and maximizing insights for informed decision-making.

What We’re Looking For:

• Experience with RPA tools.
• Strong knowledge of data automation technologies, including Power Automate, Power Apps and data storage solutions.
• Excellent analytical skills with a keen eye for detail.
• Ability to communicate complex concepts clearly to a diverse audience.
• A collaborative spirit with a commitment to achieving business objectives.

If you’re excited about the possibility of making a difference through RPA and Data Automation, we’d love to hear from you! Apply now and become a vital part of our mission to enhance public services through data-driven insights.

Let’s innovate together!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Machine Learning Engineer (Python AWS MLOps) Remote UK to £90k

Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production?

You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks.

As a Machine Learning Engineer you’ll join a cross functional team, collaborating with Data Scientists and Software Engineers on complex insurance underwriting and pricing systems. They’ll be a range of projects including data modelling and implementing Machine Learning algorithms, with Greenfield projects in the pipeline around forecasting and pricing.

There’s a collaborative team Agile environment where you’ll participate in technical discussions and have your voice heard, there’s also opportunities to mentor other more junior team members if desired.

Location / WFH:

The company is a big advocate of flexible working and prides itself on DEI; you can go into the London office as often or as little as desired and can work fully remotely from anywhere in England; you can also work at times that suit you.

About you:

You are a data savvy Machine Learning Engineer with advanced Python coding skills and a strong knowledge of AWS

You have experience of across the full lifecycle of ML model development including into production

You’re collaborative, enjoy problem solving and working with others to overcome technical challenges

You have a good knowledge of modern software engineering best practices, microservices, TDD / DDD, common Design Patterns

Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential

What’s in it for you:

As a Machine Learning Engineer (Python AWS) you will earn a competitive package:

Up to £90k salary

Remote working including flexible working hours

Workplace nursery scheme

Enhanced maternity package

25 days holiday plus ability to buy or sell 5 days p/year + extra ‘duvet day’

Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme

Weekly Yoga and monthly Acupuncture sessions, Headspace membership

Diverse, inclusive team environment with a range of support networks

A range of other perks including Perkbox, cycle to work, season ticket loan

Apply now to find out more about this Senior Machine Learning Engineer (Python AWS MLOps) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

TPBN1_UKTJ

JOB- AI Engineer

LOCATION- London (Hybrid 2 days per week in the office)

TERM- Permanent

SALARY- £70,000 to £100,000 per annum (plus benefits)

My client is an innovative fintech company developing intelligent, data-driven products to improve financial services and decision-making. They are looking to expand their technology team by hiring an AI Engineer to work on building and deploying machine learning and AI-powered solutions from their London office.

The AI Engineer will ideally have the following attributes:

Knowledge / experience in Artificial Intelligence, Machine Learning, or Data Science

A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Mathematics, Data Science or similar

Strong programming skills in Python

Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience working with large datasets and building data pipelines

Knowledge of cloud platforms such as AWS, GCP, or Azure

Experience developing and deploying AI/ML models into production environments

Understanding of APIs, microservices, and modern software development practices

Ability to work both independently and as part of a collaborative engineering team

Excellent communication skills (both verbal and written)

Keen to develop technically and grow within a fast-paced fintech environment

The AI Engineer role will involve:

Working within the existing engineering and data teams to develop AI-driven products

Designing, building, and deploying machine learning models

Developing data pipelines and preparing datasets for model training

Optimising model performance and monitoring production systems

Collaborating with software engineers to integrate AI solutions into applications

Researching and implementing new AI techniques to improve product capabilities

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

TPBN1_UKTJ

Software Engineer AI and Data, Permanent West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting team looking to scale their AI development capability. I seek a creative Software Engineer with a passion for AI and Machine Learning who has is a team player, and has the attitude to grow as a developer to support this client on their AI journey. Working in an Agile environment, you will help transform high quality data into AI Powered products including conversational and agent based solutions. This position will be Hybrid, and you will be required onsite in their Birmingham office 2 days per week. You will ideally have 2 years Software Development experience, developing and maintaining software components / services using C# and / or Python. If you have previously supported AI Powered features, this will add considerable weight to your application. At this level you will be expected to demonstrate superb communication skills both verbally and written, along with the ability to work collaboratively in an agile environment and cross functional teams as well as develop excellent working relationships with key stakeholders at all levels. This role requires someone who is a reliable, enthusiastic about AI and Machine Learning and a motivated individual who has the desire to learn and grow with the business. If you are interested, please send your CV and call me for more information. TPBN1\_UKTJ

Job Opportunity: Data Scientist Performance Intelligence Startup · Remote-first · England or Spain £45,000 – £60,000 depending on experience About the Company This is a really exciting opportunity with a fast-growing performance intelligence startup with a genuinely clever concept — think elite sports coaching, but applied to the workplace. The company helps employees, teams, and organisations reach peak performance by uncovering the root causes that hold people back, delivering personalised, data-driven insights and actionable solutions. They drive measurable business impact across things like sales growth, AI adoption, employee retention, burnout reduction, and risk management. It is, in short, a platform that takes data seriously and actually does something useful with it. Refreshing, right? The company is building toward an agent-first platform where AI becomes the primary interface for users — and they are looking for a talented Data Scientist to help make that a reality. The Role (No, you won't just be cleaning CSV files for eternity — though fair warning, some of that is inevitable in any data job.) This is a hands-on, high-impact position where the successful candidate will: \* Build, train, and deploy machine learning models — from exploratory analysis through to production-ready solutions that power the platform. Real models, in the real world. Not just PowerPoints about models. \* Develop and deploy AI agents using Databricks, Google AI Studio and/or Azure AI Foundry. These agents are the primary user interface for the product — so this is genuinely central to what the company does. \* Apply statistical rigour to psychometric and survey data, validating the company's proprietary measurement framework and identifying correlations that drive actionable insights. \* Advance analytical capabilities beyond aggregation — into predictive modelling, deep learning, and generative AI applications. The ambition is there; they just need the right person to execute it. \* Work closely with the CTO and tech team to integrate models into the platform. Collaboration is key — this is not a lone-wolf role. \* Translate complex findings into clear, actionable insights for product decisions and client-facing reports. The ability to explain results to non-technical stakeholders is genuinely valued here. ✅ What They're Looking For The must-haves (non-negotiable, unfortunately — they checked): \* 2–4 years of hands-on experience in data science, machine learning, or applied statistics. \* Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or similar. \* Solid grounding in statistics — hypothesis testing, regression, correlation analysis, and experimental design. \* Experience with SQL and data manipulation at scale. \* Comfortable with ambiguity and working independently in a fast-moving startup environment. This is not a company with 47 layers of sign-off. Decisions happen quickly. \* Professional English proficiency (B2+ level). ⭐ Nice to Have Bonus points — none of these are dealbreakers, but they would make a hiring manager very happy: \* Experience with GenAI, LLMs, SLMs, prompt engineering, or agentic AI workflows. Given the direction of the product, this is increasingly relevant. \* Cloud AI platform experience — GCP, Azure, Databricks, or similar. \* Startup experience. You know what wearing multiple hats feels like, and you didn't hate it. \* A background in behavioural science, organisational psychology, or psychometrics — the company works heavily with survey data and measurement validation. \* Spark, Databricks, or distributed computing experience. \* Published research or an academic background in statistics, ML, or a quantitative field. What's on Offer \* Salary of £45,000–£60,000 depending on experience, with bi-annual salary reviews. \* Remote-first, flexible working environment. The company trusts its people to get the job done. \* A genuine opportunity to join a high-potential startup at an exciting stage and directly influence the product, technical direction, and culture. \* High ownership — ideas actually get built here, rather than disappearing into a backlog black hole. \* A high-growth career trajectory as the team and product scale. \* A team culture that values passion, autonomy, continuous learning, and collaborative problem-solving. Small egos encouraged. Location Valencia, Spain or East Midlands, England is preferred — but the company is open to candidates across England or Spain. The role requires willingness to meet in person once a month (and more as needed). Worth it for the Valencia weather alone, frankly

Flight Software Engineer Up to £65,000 Competitive Benefits Package Remote Working Permanent Candidates must be eligible to obtain a SC clearance. Candidates must have right to workin the Uk, no sponsorship is offered. We are looking for a talented Flight Software Engineer to join a fast-growing AI and robotics safety start-up. The business is expanding its engineering team as it continues to build cutting-edge assurance systems for AI-enabled robotics and autonomous systems. The company is developing advanced safety and assurance technology designed to ensure autonomous systems operate safely, predictably and with optimal performance. Their solutions focus on robotics and AI applications where reliability and safety are critical. You will play a key role in developing software components that enable safe and reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys working in a startup environment and is motivated by solving complex technical problems. This is an opportunity to work on cutting-edge robotics technology while helping shape products from an early stage. Key Responsibilities: \* Design, develop and implement robotic software components and algorithms across perception, planning, control and decision-making systems \* Collaborate with embedded engineers, AI/ML specialists and system architects to integrate software into the wider robotics platform \* Conduct testing, optimisation and validation to ensure software meets safety and performance requirements \* Contribute to improving development processes, tooling and methodologies for robotics systems \* Stay up to date with advancements in robotics software, algorithms and frameworks and apply them within the product \* Mentor junior engineers and support knowledge sharing across the engineering team Key Skills \* Bachelor's or Master's degree in Computer Science, Aerospace Engineering, Robotics, Electrical Engineering or a related discipline \* Proven experience developing software for robotic or autonomous systems \* Strong proficiency in C/C++ and Python \* Experience with robotics frameworks such as ROS, Gazebo or MoveIt \* Strong understanding of robotics algorithms including perception, planning, control and decision-making \* Experience with modern software development practices such as Agile, CI/CD and Test-Driven Development \* Excellent analytical, debugging and problem-solving skills \* Strong communication and collaboration skills Desirable Skills \* Experience working on safety-critical or mission-critical systems \* Familiarity with safety standards such as DO-178C, ISO 26262 or IEC 61508 \* Experience working in robotics, autonomous systems or aerospace environments \* Experience mentoring or supporting junior engineers What you get in return: Salary Up to £65,000 Generous Holiday Allowance Salary Sacrifice Pension with 5% matched company contribution EV Car Scheme Cycle to Work Scheme Opportunity to work on cutting-edge AI, robotics and safety technologies in a fast-growing start-up environment This company is an equal opportunity employer and values diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Interested? Please submit your CV to Chrissie Rehman at DCS Recruitment via the link provided. Alternatively email me on or call on (phone number removed). DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

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? 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. 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. We Get You Hired 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? 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. 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. We Get You Hired 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.

Open Source Software Engineer

Location: Cheltenham

Are you passionate about open source technologies and building innovative solutions? We are looking for an Open Source Software Engineer to join our team and deliver bespoke solutions across multiple platforms, disconnected networks, and cloud environments.

About the Role

As an Open Source Software Engineer, you will work within a small, collaborative team to design and develop software solutions based on open source principles. You’ll contribute to all stages of the development life cycle, from requirements gathering to deployment, while sharing knowledge and supporting team members.

Key Responsibilities

• Develop software for client projects individually or as part of a team.
• Collaborate with technical leads and product owners to implement requirements.
• Capture business needs and translate them into technical specifications.
• Contribute to improving development approaches and quality of deliverables.
• Engage directly with clients and stakeholders to deliver tailored solutions.
• Produce detailed technical design specifications and documentation.

What We’re Looking For

• Qualifications:
  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
• Experience:
  • Proficiency in programming languages such as Go, Python, or JavaScript.
  • Hands-on experience with Linux-based operating systems (RHEL, Rocky, Debian, Ubuntu).
  • Experience contributing to or managing open source projects on GitHub/GitLab.
  • Strong understanding of Git and version control systems.
  • Knowledge of open source licenses (MIT, GPL, Apache).
  • Familiarity with cloud platforms (AWS or Azure).
• Skills:
  • Ability to write clear technical documentation.
  • Strong debugging, problem-solving, and performance optimisation skills.
  • Excellent communication and collaboration abilities.
• Desirable:
  • Experience with containerisation (Docker) and orchestration (Kubernetes).
  • Agile development experience and familiarity with CI/CD tools.
  • Knowledge of database technologies and messaging systems.

Why Join Us?

• Work on cutting-edge open source projects and cloud-based solutions.
• Collaborate with a talented team in a dynamic, innovative environment.
• Contribute to impactful projects that drive technology sustainability.
• Enjoy opportunities for professional growth and technical leadership.

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Rust Developer | Contract | £850/day | Outside IR35

Role Overview:
A leading technology-driven trading firm is looking for a Rust Developer to join their high-performance engineering team. You will play a key role in designing, building, and maintaining low-latency, mission-critical trading systems.

The role offers the opportunity to work on complex problems, optimise algorithms for speed and efficiency, and contribute directly to the architecture of next-generation trading platforms. This is a fast-paced, intellectually challenging environment where your work has a visible impact on the business.

Key Responsibilities:

• Develop and maintain high-performance trading applications using Rust.
• Write clean, maintainable, and well-tested code.
• Collaborate closely with engineers, quants, and operations teams to deliver reliable solutions.
• Contribute to system design and architecture, ensuring scalability and efficiency.
• Optimize applications for low latency, concurrency, and high throughput.

Responsibilities and Requirements:

• Proven experience in Rust development.
• Strong knowledge of system programming, performance tuning, and Multithreading.
• Experience with networking, concurrency, and low-latency systems.
• Familiarity with financial/trading systems is a plus but not essential.
• Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Contract Details:

• £850 p/d Outside IR35
• Hybrid working patterns
• 6 months Contract

Rust Developer | Contract | £850/day | Outside IR35

Data Engineer Salary: £40 - 72K + Benefits Location: London or Manchester (aligned to office for client on-site requirements) Working Pattern: Hybrid / On-site depending on client needs Security Clearance: SC Clearance required You will join a people-focused digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients and citizens. This role is suited to Data Software Engineers with a strong technical foundation and an interest in data engineering, data science, and machine learning. You will work within agile, multidisciplinary teams alongside data scientists, platform engineers, and stakeholders to build robust data processing systems in secure environments. Role Responsibilities Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads. Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach. Collaborate closely with data scientists to enable effective use of data for analytics and machine learning. Build and operate cloud-based solutions, with a strong focus on AWS services. Work with messaging, streaming, or data flow technologies to support real-time and batch data processing. Contribute to infrastructure and platform automation using Infrastructure as Code. Participate in agile ceremonies, technical design discussions, and code reviews. Ensure solutions meet security, performance, and reliability requirements within public sector environments. What You Will Bring to the Team A strong interest in data, particularly data engineering, data science, or machine learning. A solid technical background, with experience in Java, Python, TypeScript, or similar languages. Experience developing software using TDD or a strong willingness to adopt TDD practices. Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams. Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. A proactive mindset with attention to detail and a commitment to quality. Desirable Skills and Experience Experience working with cloud platforms, ideally AWS. A strong Linux background. Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Previous experience working in a consultancy or public sector delivery environment. Familiarity with secure or regulated environments. 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. TPBN1\_UKTJ

Our client, a prominent entity in the Defence & Security sector, is seeking a meticulous Data Scientist with a strong understanding of Linux, Data Science, and AWS to join their team. This is a contract position located in London for a duration of 12 months, requiring a UKIC DV clearance to undertake sensitive and impactful work.

Key Responsibilities:

• Develop and deploy data science solutions to support national security missions.
• Build and optimise data pipelines for processing large, complex datasets.
• Apply machine learning and statistical techniques to extract actionable insights.
• Create clear visualisations to communicate findings to stakeholders.
• Collaborate in agile teams to deliver robust, scalable solutions.
• Support cloud-based deployments and integration into operational environments.

Job Requirements:

• Proficiency with scripting languages like Python for data exploration, cleansing, and manipulation.
• Knowledge of machine learning models and statistical techniques, including validation.
• Understanding of data analytics and data visualisation techniques.
• Ability to process large datasets via batch or stream processing using Apache Spark or similar tools.
• Exposure to techniques used for acquiring and fusing data.
• Experience with cloud platforms (preferably AWS) or implementing cloud-based data science solutions.
• Knowledge of, or willingness to learn, DataOps.
• Experience with structured or unstructured databases.
• Experience with container technologies, including Docker and Kubernetes.
• Familiarity with agile ways of working.
• Understanding of software best practices including version control, CI/CD pipelines for automated testing, and deployment.
• Proficiency in Linux.
• BPSS & Current UKIC DV clearance.

Additional Details:

• Location: 5 days per week onsite - London
• Duration: 12 months

If you are a dedicated Data Scientist with the necessary clearances and skills, and are eager to contribute to mission-critical projects in the realm of national security, we want to hear from you. Apply now to take the next step in your career with our client.

Job Advertisement: Robotics Consultant

Are you ready to make a significant impact in the world of public services? Our client Surrey Police are seeking a talented Robotics Consultant to join their dynamic team in Guildford on a temporary full-time basis. With a daily rate of 700, this is your opportunity to showcase your expertise in robotics process automation (RPA) and drive innovation within the public sector!

PLEASE NOTE DUE TO THE POLICE VETTING CRITERIA YOU MUST HAVE RESIDED WITHIN THE UK CONTINUOUSLY FOR AT LEAST 5 YEARS AT THE TIME OF APPLICATION.

Key Responsibilities:

Testing, Deployment & Maintenance:

• Validate bot functionality and ensure optimal performance under diverse conditions.
• Configure bots for production use, monitor their operations, and implement updates as processes evolve.

Communication & Collaboration:

• Clearly articulate technical solutions to stakeholders and non-technical teams.
• Collaborate across business units and IT teams to enhance automation outcomes.

Strategic Planning:

• Plan automation initiatives, set achievable goals, and anticipate future scaling requirements.

What You’ll Need:

Technical Skills:

• Basic programming knowledge in languages like Python, Java, or C#.
• Proficiency in RPA tools such as UiPath, Blue Prism, or Automation Anywhere.
• SQL and database integration skills to support data-driven automation.
• Experience in API integration and UI automation.

Analytical & Problem-Solving Abilities:

• Strong process analysis and mapping skills to identify automation opportunities.
• Troubleshooting and debugging skills to resolve bot errors and ensure smooth operations.

Workflow & UX Design:

• Experience in designing workflows using UML or BPMN to optimize processes.
• User experience awareness to create intuitive bot interfaces for seamless adoption.

Soft Skills:

• Exceptional communication and teamwork abilities.
• Strategic thinking to align automation solutions with business goals.

Note: This role is temporary, and applicants must be available for full-time work in Guildford. Only successful candidates will be contacted for interviews.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser (url removed)

• Must have active enhanced DV (West) Clearance
• Junior to Lead levels available
• £45k to £95k DoE plus 15% clearance bonus
• Must be willing to be full-time on-site in Cheltenham
• Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy

Who are we?

We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture.

What will the Data Scientist be doing?

Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment.

Key Skills and Requirements:

• Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis.
• Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.
• Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.
• Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.
• Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools.

To be Considered:

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

KEY SKILLS:

Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Location: Manchester
Contract: Consultant
Work Setup: Hybrid - 2 days onsite (moving to 3 days in September)

Who We Are
We are a consultancy operating within Robert Walters, the world’s most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds.

The Role
We have an exciting new opportunity for a Data Modeller to join Robert Walters as a Consultant.

As a consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients’ organisations, in return we will provide you with the opportunity to develop your skills with ongoing training and professional support.

This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients.

What you’ll do

• Design, build and maintain scalable data pipelines and models in Databricks using Python to deliver reliable datasets for reporting and key business metrics.
• Develop efficient, well-structured code while adhering to technical standards, reconciliation checks, and version control practices using Git and DevOps tools.
• Partner with visualisation analysts to ensure data models are structured effectively for dashboards, reporting and insight generation.
• Work within Agile delivery teams to scope work, contribute to sprint planning and deliver outputs within agreed timelines.
• Engage with stakeholders to clarify requirements, provide progress updates and communicate technical concepts clearly to non-technical audiences.
• Continuously develop knowledge of insurance data and emerging analytics technologies to improve data solutions and support business decision-making.

What you bring

• Strong hands-on experience with Databricks, Python and Power BI, with the ability to contribute quickly in an established environment.
• Background as a Data Modeller, Analytics Engineer, or Data Analyst with strong modelling experience.
• Experience designing scalable data models and pipelines within cloud-based data platforms.
• Proficiency with Git version control and development best practices.
• Strong analytical mindset with the ability to interpret complex datasets and produce actionable insight.
• Insurance or financial services experience preferred, with understanding of business reporting and operational data.

What’s Next?
If you are ready to take the next step, apply now. Successful applicants will be contacted directly by a recruiter to discuss the role more.

We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you.

This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.

Senior AI Engineer London - hybrid (2-3 days in office) £160-175k, plus performance bonus A leading growth equity firm investing in enterprise technology businesses across the UK and Europe is hiring a Senior AI Engineer - an elite, hands-on developer who will play a foundational role in shaping how AI is used across the investment lifecycle. As the sole AI Engineer, you will have responsibility for E2E delivery (yes, including all development + implementation), and the chance to build from a blank slate, shaping the firms AI capability, including sourcing, research, diligence, and workflows. Importantly, you will have worked in high-context environments where engineers work directly with end users to deliver real-world AI systems - define the technical stack, set the roadmap, and own the end-to-end delivery of internal AI systems. This is a highly autonomous architect-led role with significant responsibility and the freedom to experiment, iterate, and drive impact quickly. Youll move fluidly between rapid prototyping and production rigor, applying technical creativity to commercial decision-making. More on the role: Build internal AI-powered tools, systems and agents to streamline sourcing, research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms Rapidly prototype MVPs, validate value with the investment team, and harden the most impactful tools into reliable internal products Build simple internal interfaces using FastAPI, Streamlit, or Next.js to enable intuitive adoption Implement evaluation, observability, and governance to ensure accuracy, reliability, security, and responsible use of AI systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 7+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party datasets, web APIs, or scrapers A product mindset, enjoys crafting scrappy prototypes that evolve into polished tools Strong communication skills and the ability to collaborate directly with non-technical business users Exposure to finance, enterprise data tooling, or B2B SaaS analytics is a bonus The Senior AI Engineer will thrive in real-world environs where delivery is all - settings where you work directly with end users, navigate ambiguous or evolving requirements, and need to understand the commercial context as deeply as the technical one. It is envisaged that over time the role could evolve, albeit in a small way, to include an element of trusted advisor / thought partner (i.e. for portfolio company / prospective investee company CEOs etc). TPBN1\_UKTJ

Applied AI / Automation Engineer

Location: London (Hybrid)

Salary : £70k + (DOE)

The Role

A London-based financial services firm operating within the hedge fund and asset management space is seeking an Applied AI / Automation Engineer to join its Data Science function.

This role will focus on designing and building an intelligent reporting and automation platform to support fund operations and administration teams. The successful candidate will work closely with both technical and operational stakeholders to deliver measurable efficiency gains and scalable automation solutions.

The overall objective is to modernise reporting production and reconciliation processes through the application of modern data engineering practices, AI-enabled automation, and agent-based workflows.

This is a hands-on engineering role focused on building reliable, production-grade systems within a complex financial environment.

Key Responsibilities

Lead the design and development of an end-to-end automated reporting platform .

Build intelligent workflows to automate data ingestion, validation, reconciliation, and reporting processes , replacing manual operational workflows with scalable, controlled systems.

Design exception-handling and human-in-the-loop mechanisms where full automation is not appropriate.

Ensure the platform delivers high levels of accuracy, auditability, and operational resilience .

Work closely with product and operations stakeholders to translate operational complexity into structured technical solutions.

Develop the system as a maintainable internal product , rather than a collection of standalone scripts or tools.

Contribute to the broader evolution of AI-driven operational capabilities across the business.

Experience & Skills

Strong automation engineering capability with the ability to apply AI in real operational environments.

Strong hands-on experience with Python and SQL (3+ years)

Experience designing and implementing data pipelines and automation systems.

Experience integrating systems via APIs and structured data feeds.

Experience building reliable, monitored, and maintainable production systems.

Familiarity with version control (Git) and CI/CD pipelines.

Experience implementing testing frameworks to ensure system reliability and accuracy.

Strong systems thinking with the ability to design end-to-end technical solutions.

Strong communication skills and ability to work cross-functionally with operations teams.

Desirable

Exposure to financial services workflows such as reconciliation, accounting, or operational controls .

Experience building systems in regulated or audit-sensitive environments .

Familiarity with workflow orchestration tools .

Experience turning internal automation into scalable internal products, including dashboards or tools (e.g. TypeScript, React, Next.js or similar ).

Opportunity

This is an opportunity to design and build an AI-driven operational platform from the ground up within a sophisticated financial environment.

Through the application of automation, AI agents, and modern data engineering, the role will help shape how AI augments and transforms operational workflows across the organisation.

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

Machine Learning Engineer (MLOps)
Location: Oxfordshire, UK

Permanent

HYBRID 3 days per week onsite

ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges.

As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation.

Key Responsibilities

• Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation
• Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration
• Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets
• Train, validate, and optimise machine learning models using modern Python-based frameworks
• Integrate ML inference into real-time or near-real-time control environments
• Stay up to date with the latest developments in machine learning and sensor fusion techniques
• Interpret and communicate cutting-edge research in both theory and experiment with internal teams
• Contribute to the wider scientific community through publications, conferences, or technical collaboration
• Support and mentor colleagues, contributing to a collaborative research and engineering environment

Essential Skills & Experience

• BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline
• 2+ years of industry experience developing and deploying machine learning models
• Strong programming skills in Python for machine learning and scientific computing
• Experience developing, training, and optimising machine learning models
• Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn
• Experience working with large datasets and high-performance computing (HPC) environments
• Strong analytical and problem-solving skills in complex technical environments
• Ability to communicate effectively with both technical and non-technical stakeholders
• Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment
• Ability to learn complex topics quickly and translate research into practical solutions

Desirable Skills & Experience

• PhD in Computer Science, Mathematics, Statistics, Physics, or a related field
• Experience deploying machine learning models to edge or embedded compute hardware
• Experience with MLOps workflows, including continuous training, testing, and deployment pipelines
• Experience with real-time systems, sensor data processing, or advanced signal processing
• Exposure to quantum technologies, quantum information science, or quantum machine learning

This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies.

ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems.

Please apply via the link for immediate consideration!