Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies Step Two: Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals and Designing & Implementing Azure AI Solutions. Step Three: Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per Year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost - £1495, or, £124.58 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now’ to begin your new data career!

We believe in better. And we make it happen.

Better content. Better products. And better careers.

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

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

And we do it all right here at Sky.

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

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

What you’ll bring

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

A Typical Day at the Office

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

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

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

Global OTT Technology

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

The rewards

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

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

Inclusion & how you’ll work

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

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

Your office space

Osterley

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

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

We’d love to hear from you

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

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

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

We believe in better. And we make it happen.

Better content. Better products. And better careers.

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

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

And we do it all right here at Sky.

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

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

What you’ll bring

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

A Typical Day at the Office

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

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

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

Global OTT Technology

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

The rewards

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

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

Inclusion & how you’ll work

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

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

Your office space

Osterley

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

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

We’d love to hear from you

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

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

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

We believe in better. And we make it happen.

Better content. Better products. And better careers.

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

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

And we do it all right here at Sky.

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

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

What you’ll bring

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

A Typical Day at the Office

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

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

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

Global OTT Technology

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

The rewards

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

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

Inclusion & how you’ll work

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

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

Your office space

Osterley

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

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

We’d love to hear from you

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

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

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

Mid-Level Engineer - Technology & Innovation

London, UK | Hybrid 3 days a week in office.

We’re hiring a Mid-Level Engineer to join a growing Technology & Innovation team within a Financial Advisors firm, one of the UK and Ireland’s leading Corporate Finance advisory firms.

Reporting to the CTO, you’ll help deliver and manage our cloud-agnostic data & AI platform , scale client digital products , and work across cutting-edge technologies including AI, cloud platforms, and data engineering . This role sits at the heart of our strategy to unlock value from data across real assets, sustainability, and essential services .

What you’ll do

Build and enhance our cloud platforms and data infrastructure

Deploy AI/ML and GenAI solutions into production

Drive automation and operational efficiency using AI and RPA

Support development of client-facing digital platforms and dashboards

Modernise systems into cloud-native, API-first architectures

Key skills

Cloud engineering (Azure, Kubernetes, serverless, DevOps)

Python and relational databases (SQL)

Data platforms, ETL/ELT, and analytics

AI tools and LLM integrations (e.g. GPT, Claude, Gemini)

Security, governance, and regulated environment experience

Why this team?

Work in a high-performing, cooperative team

Exposure to advanced AI and data technologies

Opportunity to shape technology strategy in corporate finance

A values-driven B-Corp organisation focused on Finance with a Purpose

If you’re an ambitious technologist who enjoys solving complex problems and building impactful platforms, please apply below.

*This role does not offer Visa sponsorship*

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

TPBN1_UKTJ

Description

Software Engineer

Programme Name: Maritime Internal Research & Development

Location: Farnborough, with flexibility to work from home dependent on business demands

Salary: £47,600 - £61,000

Are you ready for your next career challenge?

We are seeking a Software Engineer (Python and Java) to play a key role in advancing Maritime Internal Research and Development (IRAD) within our National Security & Defence (NS&D) Division. You will help shape next‑generation capabilities in AI, autonomy, and machine learning, taking innovative concepts from research through to solutions ready for integration with operational platforms.

Working in a fast‑paced and collaborative environment, you will contribute to problem analysis, solution design, and the delivery of high‑quality software across a diverse range of applications. Based at our Farnborough office, with flexibility for primarily remote working, you will join a high‑performing, multidisciplinary team operating across the UK.

This is an opportunity to make a tangible impact, working within a creative team at the forefront of internal innovation and strategic business growth.

We are looking for engineers with a strong foundation in software development and a passion for delivering robust, assured solutions. Due to the nature of the work, candidates must hold, or be eligible to obtain, UK SC clearance and be a sole UK national. The role offers exposure across multiple IRAD workstreams and the full software development lifecycle, providing the opportunity to grow your skills while contributing to mission‑critical outcomes

The role is a full-time, permanent position that will make an impact from Day 1 and may

Key Activities

• Develop Software Requirements and Software solutions/recommendations
• Contribute to architecture and design baselines
• Fast-paced experimentation and solution development to meet mission focused use cases
• Software development of solutions to quality/safety/security software standards
• Integration of bespoke and COTS software products
• Configuration of software products and toolchains
• Software modelling and simulation
• Ability to demo capabilities and rapidly iterate based on feedback
• Change and release management
• Curious and inquisitive issue investigation and a flexible and adaptable approach to resolution
• Technical risk and opportunity management
• Liaison with UK-wide and global colleagues, suppliers and end user representatives
• Close working with other disciplines (i.e. Systems Engineering and Test Teams)

Skills Required:

• Proficiency in Python and Java; experience with C++ and JavaScript is desirable
• Experience working in Agile development environments
• Familiarity with Secure DevOps and CI/CD pipelines, including tools such as Jira, Bitbucket, JFrog, Ansible, Grafana, Splunk, Confluence, and Kubernetes
• Experience designing and implementing service‑oriented and microservices architectures
• Containerisation experience, preferably using Docker
• Use of automated testing frameworks and tools
• Experience developing solutions on AWS
• Delivery of software in line with quality, safety, and security standards, including Secure by Design principles
• Understanding of integrating sensor inputs, effects of latency, decision and behaviour trees, failure modes, autonomy algorithms, performance tuning and assessing AI accuracy
• Experience with LLMs, AI agents, and generative AI techniques
• Exposure to AI‑assisted and agentic software engineering tools, frameworks, and patterns (e.g. MCP, Claude Code)
• Integration and configuration of COTS products

Clearance Requirements: Current UK SC Clearance, or the ability to gain UK SC Clearance. Sole UK National.

What we do for you:
At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance.

We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes:
•    Contributory Pension Scheme
•    Private Medical Insurance
•    33 days Annual Leave (including public and privilege holidays)
•    Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme)

•    Flexi-Time Working

Commitment to Diversity:

We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture.  We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone.  If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs.

Who We Are:

Leidos UK & EUROPE – we work to make the world safer, healthier, and more efficient through technology, engineering and science.

Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation.

What Makes Us Different:

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world.  You can inspire change.

Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team.  We have been empowering our people to work flexibly for years.  Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours.

People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

£47,600.00-£61,000.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies Step Two: Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals and Designing & Implementing Azure AI Solutions. Step Three: Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per Year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost - £1495, or, £124.58 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now’ to begin your new data career!

Reporting To: Head of Analytics / Data Lead
Division: Data & Analytics
Location: UK - Remote first (office in Belfast optional)
Contract Type: Permanent
Salary: £50,000 - £60,000 GBP
Working Hours: Candidates should be able to work until 6:30-7:00 pm GMT to align with PST teams

Job Summary

We are seeking a Senior Analytics Engineer - a proactive, self-directed professional who goes beyond executing tickets. This is a hands-on role for someone who can analyse systems, identify issues, propose solutions, and help guide priorities across a complex data ecosystem.

Key Responsibilities

• Build clean, maintainable dbt models, and migrate custom SQL from Tableau into dbt pipelines.
• Structure data marts and help transition dashboards into robust, model-driven solutions.
• Handle complex, messy, or disparate data, reconciling inconsistencies across systems.
• Ensure reliability of reporting, KPIs, and downstream data outputs despite upstream variability.
• Collaborate closely with Revenue, RevOps, and other non-technical or semi-technical stakeholders.
• Participate in stakeholder interviews and contribute to prioritisation and translation of business needs into technical work.

Required Skills & Experience

• Deep dbt expertise, including model performance considerations and grain selection.
• Strong data modelling & architecture skills, able to navigate complex, tangled data environments.
• SQL mastery, able to complete complex transformations and pass technical assessments.
• Hands-on experience with Snowflake, Tableau (as a downstream consumer), Segment, Fivetran, and RDS.
• 7-10+ years in data-focused roles, comfortable operating in ambiguity and legacy systems.
• Excellent communication skills with technical and non-technical stakeholders.

Desirable / Nice-to-Have:

• Experience with dbt MetricFlow or semantic layer implementations.
• Background working in distributed, global teams (LATAM, US, UK).

Candidate Profile

• Pragmatic and self-directed, thrives in messy ecosystems without requiring a full architecture rebuild.
• Comfortable balancing short-term triage with longer-term strategic thinking.
• Able to work autonomously and proactively guide projects to resolution.

Benefits

• Private medical insurance
• Westfield Health Cash Plan
• Car salary sacrifice scheme
• Working from home allowance (£1,000 per year)
• Employer Pension contribution (4%)
• Pension salary sacrifice (from Jan 2026)
• Life Insurance
• Skills for Me allowance for personal development
• 33 days holiday (including bank holidays)
• 3 statutory days (New Year’s Day, Christmas Day, May Bank Holiday)

Hiring Process

HackerRank assessment (~90 minutes, to be completed within 48 hours).Technical interview.Standard recruitment process.

Skills:
Data Snowflake SQL Tableau DBT

Benefits:
Work From Home

Job description.
Microsoft Power Platform Consultant - (AI & Data)
Location: UK-based (Hybrid)
Eligibility: UK work authorisation required (no sponsorship available)

This is an opportunity to join a fast-growing Intelligent Automation and AI practice, helping organisations rethink how they operate using data, automation and modern Microsoft technologies. You’ll work at the intersection of business and technology, designing smart, scalable solutions that deliver real-world impact.

The role suits someone who enjoys variety - client-facing work, hands-on solution design, and the chance to influence how automation and AI are applied across complex environments.

Why join?
* Work on high-impact AI and automation initiatives across multiple industries
* Combine Power Platform, data and AI to solve meaningful business problems
* Strong focus on learning, certification and career progression
* Supportive, collaborative culture with exposure to global projects

What you’ll be doing:
* Designing and delivering end-to-end Microsoft Power Platform solutions
* Building, deploying and managing automation and AI-driven workflows
* Working closely with stakeholders across business and technology teams
* Acting as a trusted advisor, translating requirements into practical solutions
* Supporting and mentoring junior consultants and reviewing deliverables
* Staying close to emerging trends in AI, automation and Microsoft tooling

What you’ll bring:
* Experience in consulting, automation, AI, Power Platform or similar roles
* Strong hands-on experience with Microsoft Power Platform (certification a plus)
* Exposure to Intelligent Automation and AI use cases in real environments
* Confident communicator, comfortable working directly with clients
* Analytical mindset with the ability to tackle complex, ambiguous problems
* Degree in Technology, Engineering or a related discipline

Interested?
Get in touch with Justin Donaldson for a confidential conversation and more detail on the role.

Skills:
IA AI RPA Blu Prism data science consulting

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.

A Mid Level Python Engineer is required to join a Fintech company developing next generation tools for how companies get funding and optimise their working capital.

Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients systems.

You will be joining a strong team of Python Engineers, Data Scientists, and financial experts, who are building the next generation of financial toolsscalable, secure, and smart.

If you’re an experience Software Engineer whose passionate about Python, excited by financial technology, and eager to build meaningful systems from the ground up, we want to hear from you.

As a Python Software Engineer, you will contribute to the design, development, and delivery of scalable, high-impact features across our platform. Youll work closely with experienced engineers, product managers, and data scientists to build reliable systems that solve complex financial problems. This role offers an excellent opportunity to deepen your technical expertise, take ownership of individual projects, and grow in a supportive, fast-paced startup environment.

Requirements:

1st class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University

3+ years of experience in Python development

Tech: Python, FastAPI, Pydantic, PostgreSQL, AWS

DevOps tools: Kubernetes, Docker,Terraform, Jenkins

Very strong software engineering principles

Enthusiasm for startup environment and cross-functional teams

Passion for automation and data infrastructure

TPBN1_UKTJ

Backend Software Engineer / Developer (TypeScript Node Data) Remote UK to £90k

Are you a data savvy Software Engineer with strong backend development experience using TypeScript and Node?

You could be progressing your career in a senior, hands-on Backend Software Engineer role at a scaling Fintech who have built an energy trading platform to revolutionise energy buying for large industrial and commercial users.

As a Backend Software Engineer you’ll help to build a seamless digital experience that makes complex energy systems simple, powerful and intuitive. You’ll be building resilient, modular backend services, data models, data flows between Postgres, Redshift, analytics layers and APIs that underpin complex trading, billing and analytics platforms.

There’s a collaborative team environment where you’ll input into technical discussions and decision making.

Location / WFH:

There’s a remote first policy so you can work from home on a full time basis, with the caveat that you’ll meet up with the team in London from time to time (approximately once a quarter, paid for).

Please note you must be UK based and have the right to work.

About you:

You have strong software engineering experience across the full development lifecycle

You have expertise with backend TypeScript, Node, Python and APIs

You have a good knowledge of AWS

You have experience with PostgreSQL, DBT and Amazon Redshift, and have had exposure to data pipelines, ETL, data modelling and LLMs

You have a good understanding of event driven systems

You’re comfortable working with complex, data rich environments and have previous experience within Fintech, Payments, eCommerce or similar with high throughput systems

You’re happy to do some brownfield, refactoring and maintenance work alongside new projects

You’re collaborative with great communication skills

What’s in it for you:

Salary to £90k

Remote working

Impactful role with complex challenges

Great career growth opportunities as the company scales

Apply now to find out more about this Backend Software Engineer / Developer (TypeScript Node Data) 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

Power BI Developer

Manchester

6 month contract

Inside ir35

Purpose of the Role

The role is responsible for designing high quality Power BI datasets, developing scalable data models, and delivering insightful dashboards that support critical business processes. The position also leads the establishment of a resilient BI data foundation, integration with ServiceNow, and uplift of AI ready reporting capabilities across the organisation.

Key Objectives

• Establish a governed, trusted Data Pillar with certified datasets, semantic models, and defined data lineage.
• Develop innovative Power BI-to-ServiceNow integrations for surfacing dataset health, ownership, and automated workflows.
• Assess and improve resilience of key BI assets, including data quality, refresh reliability, performance, and access controls.
• Standardise tooling (templates, DAX libraries, CI/CD, documentation, testing) to support consistent and governed development.
• Enable Gen AI and Co pilot Studio adoption by producing AI ready datasets and identifying opportunities for automation, anomaly detection, and forecasting.
• Optimise BI workflows by leveraging AI for documentation, requirements capture, DAX optimisation, and natural language querying.

Key Responsibilities

• Design and optimise Power BI data models, schemas, relationships, and calculated fields.
• Build high performance, scalable datasets in Power BI Service.

Report & Dashboard Development

• Develop interactive dashboards and paginated reports with strong usability, accuracy, and visual clarity.

DAX & Data Transformation

• Write efficient DAX measures for KPIs, time intelligence, and complex business logic.
• Deliver robust data transformations using Power Query (M) and SQL-based pipelines.

Data Integration & Gen BI

• Integrate Power BI with Co pilot Studio and prepare models for AI agent consumption.
• Build workflow automation using Power Automate.

Power BI Service Administration

• Manage datasets, workspaces, refresh schedules, usage monitoring, and performance optimisation.

Stakeholder Engagement & Documentation

• Gather business requirements and translate them into scalable BI solutions.
• Collaborate with data engineers, SMEs, and product teams.
• Document data lineage, business logic, and model architecture.

Essential Skills & Experience

• Strong expertise in Power BI Desktop, Power Query (M), DAX, and Power BI Service.
• Solid SQL skills (joins, CTEs, window functions) and experience with SQL Server.
• Strong understanding of dimensional modelling and data warehouse principles.
• Experience building and maintaining ETL pipelines.
• Excellent analytical, problem solving, and troubleshooting skills.
• Strong communication skills, able to translate complex data concepts for non technical audiences.

Desirable Skills

• Experience with Atlassian tools (JIRA, Confluence).
• Familiarity with ServiceNow GRC and related data structures.

Behaviours & Mindset

• Customer-focused, delivering intuitive and value-driven reporting.
• Detail oriented, ensuring strong governance and accuracy.
• Collaborative and responsive, working effectively across teams.
• Proactive and improvement-driven, seeking opportunities to simplify and automate.

If you believe you have the experience required, please apply with your CV now for instant consideration!

TO APPLY - PLEASE APPLY WITH AN UP-TO-DATE CV

Candidates will ideally show evidence of the above in their CV in order to be considered.

Please be advised if you haven’t heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Program Scope: Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems Development of new AI products for the Conversational Banking Lab, including but not limited to: Agent summarisation - bespoke features to summarise nuanced conversations App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way ML & AI Engineer . Must haves 1. Python literacy - min 2years+ working on production grade LLM based applications 2. Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture 3. AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring 4. Data engineering - scaled data pipelines using python/spark. GCP native services: BQ, Spanner, Dataflow, Firestore Nice to haves 1. AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks 2. Data ontologies - graphical approaches to data storage + retrieval • Exposure to Agile/Scrum methodologies

Role: ML & AI Engineer Location: London,UK Job type : Contract Mode of work : Hybrid -2 days onsite in a week JD: Key responsibilities \* Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP \* Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant \* Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems \* Development of new AI products for the Conversational Banking Lab, including but not limited to: \* Agent summarisation - bespoke features to summarise nuanced conversations \* App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point \* Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way Key Skills/Knowledge: Must haves \* Python literacy - min 2years+ working on production grade LLM based applications \* Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture \* AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring \* Data engineering - scaled data pipelines using python/spark. GCP native services: BQ, Spanner, Dataflow, Firestore Nice to haves \* AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks \* Data ontologies - graphical approaches to data storage + retrieval • Exposure to Agile/Scrum methodologies

Senior Data Engineer - Sponsorship Offered

65,000 - 72,000 + 20% Bonus + Excellent Benefits

London 2-3 days on-site

Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations.

We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation.

You’ll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions.

Required Qualifications

• 6+ years of experience in data engineering
• 3+ years of hands-on experience with Azure Databricks
• Strong working knowledge Azure
• Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts.

To apply for this role please email across your CV ASAP.

Dynamics 365 Developer (Business Central & D365 CRM)

Contract: 12 Months
Salary: 50,000
Sector: Not-for-Profit / Charity
Location: UK (Hybrid / Remote options depending on project needs)

An established not-for-profit organisation is seeking an experienced Dynamics 365 Developer to support the development, enhancement, and integration of its core business systems. The organisation uses Microsoft Dynamics 365 Business Central as its ERP platform and Microsoft Dynamics 365 Customer Engagement (CRM) for stakeholder management and engagement.

This role will play a key part in improving how the organisation manages finance, grants and funding programmes, and community engagement activities through the Dynamics platform. You will work closely with internal stakeholders including finance teams, programme managers, and external partners to deliver scalable and maintainable solutions.

Key Responsibilities

Dynamics Development

• Design, develop, and maintain custom extensions within Business Central using the AL programming language
• Configure and extend Dynamics 365 CRM entities, forms, views, and workflows
• Develop plugins, custom logic, and integrations using C#, .NET, and JavaScript
• Implement automation and business processes using Power Platform tools

Systems Integration

• Build and maintain integrations between Business Central and Dynamics 365 CRM
• Develop REST APIs, web services, and data integration pipelines
• Ensure reliable data synchronisation between ERP and CRM systems
• Integrate Dynamics with third-party platforms where required

Business Process Support

• Work with finance and programme teams to support grant and sub-grant management processes
• Assist with system improvements that support resident and stakeholder engagement
• Translate business requirements into scalable technical solutions
• Provide guidance on best practice across the Dynamics ecosystem

Platform Management & Improvement

• Support system upgrades, extension lifecycle management, and release processes
• Maintain documentation for customisations, integrations, and architecture
• Participate in troubleshooting and resolving system issues
• Identify opportunities to improve automation, performance, and system usability

Technical Skills & Experience

Business Central

Experience developing solutions in Microsoft Dynamics 365 Business Central, including:

• AL language development
• Custom extensions and application customisation
• Development of reports, pages, tables, and codeunits
• Understanding of finance modules and ERP workflows

Dynamics CRM

Experience working with Microsoft Dynamics 365 Customer Engagement, including:

• Custom entities, forms, and views
• Plugins and workflow development
• Client-side scripting with JavaScript
• Server-side development with C# / .NET
• Power Platform integration

Integration & Platform Tools

• API development and integration using REST / web services
• Data synchronisation between systems
• Experience with Power Platform (Power Apps, Power Automate)
• Knowledge of Azure services and DevOps pipelines
• Source control and deployment best practices

Senior Data Engineer (Python & SQL)
Location London with hybrid working Monday to Wednesday in the office
Salary 70,000 to 85,000 depending on experience
Reference J13026

An AI first SaaS business that transforms high quality first party data into trusted, decision ready insight at scale is looking for a Senior Data Engineer to join its growing data and engineering team.

This role sits at the core of data engineering. You will work with data that is often imperfect and transform it into well structured, reliable datasets that other teams can depend on. The focus is on engineering high quality data foundations rather than analytics or cloud infrastructure alone.

You will design and build clear, maintainable data pipelines using Python and SQL within a modern data and AI platform, with a strong focus on data quality, robustness, and long term reliability.

You will also play an important mentoring role within the team, supporting and guiding other data engineers and helping to raise engineering standards through thoughtful, hands on leadership.

Why join
A supportive and inclusive environment where different perspectives are welcomed and people are encouraged to contribute and be heard
Clear progression with space to deepen your technical expertise and grow your confidence at a sustainable pace
A team that values collaboration, good communication, and shared ownership over hero culture
The opportunity to work on meaningful data engineering problems where quality genuinely matters

What you will be doing
Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use
Writing clear, well-structured Python, PySpark, and SQL to transform and validate data from multiple upstream sources
Taking ownership of data quality, consistency, and reliability across the pipeline lifecycle
Shaping scalable data models that support a wide range of downstream use cases
Working closely with Product, Engineering, and Data Science teams to understand data needs and constraints
Mentoring and supporting other data engineers, sharing knowledge and encouraging good engineering practices
Contributing to the long term health of the data platform through thoughtful design and continuous improvement

What we are looking for
Strong experience using Python and SQL to transform large, real world datasets in production environments
A deep understanding of data structures, data quality challenges, and how to design reliable transformation logic
Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar
Confidence working with imperfect data and making it fit for consumption downstream
Experience supporting or mentoring other engineers through code reviews, pairing, or informal guidance
Clear, thoughtful communication and a collaborative mindset

You do not need to meet every requirement listed. What matters most is strong, hands on experience using Python and SQL to work confidently with complex, real world data, apply sound engineering judgement, and help others grow through your experience.

Right to work in the UK is required. Sponsorship is not available now or in the future.

Apply to find out more about the role.

If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme.
Datatech is one of the UK’s leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed)

Role Title: Confluent Engineer
Location: London
Duration: 27/05/2026
Days on site: 2-3
Rate INSIDE IR35 £402.75 PER DAY

MUST BE THROUGH UMBRELLA

Role Description:

* Role Title: Senior Software Engineer - Confluent Streaming Platform

Role Purpose
* We are seeking a Senior Software Engineer with strong hands-on experience in Confluent Platform, Apache Kafka, and Apache Flink to support the introduction and evolution of Intact’s enterprise streaming capabilities. This role sits within the Integration function, responsible for enabling Real Time data, event-driven architecture, and high-performance integrations across the organisation.
* The ideal candidate will contribute to the design, development, and scaling of Intact’s Confluent-based streaming platform, supporting teams across the organisation in adopting event-driven approaches.
* This opportunity sits within a significant cloud-modernisation programme, leveraging Agile and DevOps practices to continuously deliver business value.

Key Accountabilities
* Deliver engineering tasks across the Confluent Streaming Platform, including the design, development, testing, and deployment of event-driven services and data pipelines.
* Develop Kafka topics, schemas, and streaming applications using Kafka, Kafka Connect, Schema Registry, and Flink.
* Collaborate with architects and platform teams to shape the event streaming roadmap.
* Provide subject-matter expertise in distributed streaming and event-driven architecture.
* Review streaming applications produced by other engineers, ensuring quality and best practices.
* Troubleshoot production streaming issues and conduct root-cause analysis.
* Promote platform standards, governance models, and reusable patterns.
* Collaborate with vendor teams and Confluent professional services.
* Actively participate in Agile ceremonies and technical discussions.

Customer Conduct Framework
* Understand how FCA Conduct Rules apply to this role and consistently demonstrate behaviours that support positive customer outcomes and safe data handling.

Functional/Technical Skills
* 6+ years of software engineering experience, including 3+ years hands-on with Confluent/Apache Kafka.
* Experience designing and building distributed streaming applications using Confluent Platform components.
* Strong understanding of event-driven architecture concepts (event streaming, event sourcing, Pub/Sub, stream processing).
* Experience with Avro/JSON/Protobuf, schema evolution, and Schema Registry.
* Integration experience with Back End systems such as SQL/NoSQL databases, APIs, and cloud data platforms.
* Familiarity with API design, data modelling, and microservice integration patterns.
* Proficient with Git, Jira, Azure DevOps, Docker, Kubernetes.
* Working knowledge of AWS and/or Azure.
* Strong understanding of clean code, reusable component design, and Agile/DevOps practices.

Decision-Making Authority
* Makes decisions on design and implementation of streaming components within agreed architecture and standards.
* Provides expert guidance impacting platform reliability, performance, and integration quality.
* Escalates risks, issues, and architectural concerns appropriately.

Please send latest CV

LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.

Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Role Title: Confluent Engineer
Location: London
Duration: 27/05/2026
Days on site: 2-3
Rate: £402/Day -Inside IR35

MUST BE PAYE THROUGH UMBRELLA

Role Description:

Role Title: Senior Software Engineer - Confluent Streaming Platform

Role Purpose
We are seeking a Senior Software Engineer with strong hands-on experience in Confluent Platform, Apache Kafka, and Apache Flink to support the introduction and evolution of Intact’s enterprise streaming capabilities. This role sits within the Integration function, responsible for enabling Real Time data, event-driven architecture, and high-performance integrations across the organisation.
The ideal candidate will contribute to the design, development, and scaling of Intact’s Confluent-based streaming platform, supporting teams across the organisation in adopting event-driven approaches.
This opportunity sits within a significant cloud-modernisation programme, leveraging Agile and DevOps practices to continuously deliver business value.

Key Accountabilities
Deliver engineering tasks across the Confluent Streaming Platform, including the design, development, testing, and deployment of event-driven services and data pipelines.
Develop Kafka topics, schemas, and streaming applications using Kafka, Kafka Connect, Schema Registry, and Flink.
Collaborate with architects and platform teams to shape the event streaming roadmap.
Provide subject-matter expertise in distributed streaming and event-driven architecture.
Review streaming applications produced by other engineers, ensuring quality and best practices.
Troubleshoot production streaming issues and conduct root-cause analysis.
Promote platform standards, governance models, and reusable patterns.
Collaborate with vendor teams and Confluent professional services.
Actively participate in Agile ceremonies and technical discussions.
Customer Conduct Framework
Understand how FCA Conduct Rules apply to this role and consistently demonstrate behaviours that support positive customer outcomes and safe data handling.

Functional/Technical Skills
6+ years of software engineering experience, including 3+ years hands-on with Confluent/Apache Kafka.
Experience designing and building distributed streaming applications using Confluent Platform components.
Strong understanding of event-driven architecture concepts (event streaming, event sourcing, Pub/Sub, stream processing).
Experience with Avro/JSON/Protobuf, schema evolution, and Schema Registry.
Integration experience with Back End systems such as SQL/NoSQL databases, APIs, and cloud data platforms.
Familiarity with API design, data modelling, and microservice integration patterns.
Proficient with Git, Jira, Azure DevOps, Docker, Kubernetes.
Working knowledge of AWS and/or Azure.
Strong understanding of clean code, reusable component design, and Agile/DevOps practices.
Decision-Making Authority
Makes decisions on design and implementation of streaming components within agreed architecture and standards.
Provides expert guidance impacting platform reliability, performance, and integration quality.
Escalates risks, issues, and architectural concerns appropriately.

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.