Technical Lead

DWP Digital

Longbenton

1 year ago

Applications closed

Related Jobs

View all jobs

Data Engineering Technical Lead

Data Engineering Lead & EDM Architect (Hybrid, London)

Staff Data Engineer: Lead Cloud Data Pipelines & Equity

Hybrid Data Engineering Lead — Databricks

Lead Data Engineer

Senior Principal Data Engineer & Tech Lead, Data Platform

Technical LeadPay up to £78,517 plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance.Are you a Software Engineer or Technical Lead with experience of working with Product Owners and Delivery Managers to create cutting edge, innovative cloud-based solutions in a business-critical team?If so, The Garage has an exciting opportunity for you!DWP. Digital with Purpose.To date, The Garage has developed and deployed over 75 solutions that have processed over 50 million transactions. Recognised as a government leader in intelligent automation, The Garage is also acknowledged as leading the way across industry.As a deep technical specialist, you will regularly communicate with a range of technical resources, including Architects, Enterprise Infrastructure teams and Product Owners, to ensure alignment to standards and the delivery of customer-focused products that meet business needs throughout their life.The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us.What skills, knowledge and experience will you need?Lead criterion - Experience of creating cloud-based solutions using JavaScript/TypeScript, Node.js, SQL, Docker. *Experience of communicating effectively with stakeholders at multiple levels within an organisation.Experience of leading multiple agile teams delivering a diverse range of projects.Experience of building and maintaining infrastructure-as-code.Experience of building and maintaining CI/CD pipelines.Awareness of open-source AI/ML models and how to utilise them in cloud-based solutions.You and your roleAs a Technical Lead in The Garage, you will be accountable for the day-to-day product development and coordination of multiple technical teams to deliver and maintain products and services for DWP.The Technical Lead will provide technical input into business discussions as required based on their deep technical experience in areas such as software development, site reliability engineering, DevOps, and solution architecture.You will deliver innovative, robust, secure, scalable and cost-effective automation products to be proud of. Our Technical Leads utilise a blend of the latest techniques and technologies such as event-driven architecture, microservice architecture, serverless computing, containerisation, robotic process automation, artificial intelligence, machine learning, computer vision, natural language processing, and optical character recognition.Details. Wages. Perks.Location: You'll join us in our brilliant digital hub in Newcastle, only a short Metro ride from the city centreHybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub.Pay: We offer competitive pay of up to £78,517.Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth over £16,000 per year.Holidays: A generous leave package starting at 26 days rising to 31 days over time.You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays.We have a broad benefits package built around your work-life balance which includes:An award-winning environment and culture: Employer of the Year 2023 (Women In IT Awards), Founders Award for Outstanding Digital Leadership 2023 (Digital 100)Flexible working including flexible hours and flex-friendly policiesTime off volunteering and charitable givingBring your authentic self to work with 'I Can Be Me in DWP'Discounts and savings on shopping, fun days out and moreInterest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a differenceProfessional development, coaching, mentoring and career progression opportunities.Process:We know your time is valuable, so our application and selection process are just two stages:Apply: Complete your application on Civil Service Jobs. There'll be full instructions when you click through.Interview: a single stage interview online.CLICK APPLY for more information and to start your application.TPBN1_UKTJ

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 18, 2026

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jan 13, 2026

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Jan 6, 2026

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.