junior software engineer

VodafoneThree

<div><div><div><div><h2 class="jobSectionHeader"><b>Who we are</b></h2>
</div><div><p>
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
<br>
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
<br>
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
<br>
#VOIS #BeUnrivalled #CreateTheFuture</p></div></div><div><div><h2 class="jobSectionHeader"><b>
About this Role:</b></h2>
</div><div><p>
The <b>Digital &amp; IT Team</b> is responsible for designing, building, and operating the core digital and IT capabilities that power Vodafone&rsquo;s next‑generation Digital &amp; IT platform.</p><p>
As a <b>Junior AI Engineer</b>, you will work within cross-functional squads to build platform capabilities using an <b>AI-enabled Software Development Life Cycle (AI-SDLC)</b>.</p><p>
You will apply AI tools to accelerate how we <b>understand existing systems, generate specifications, and deliver software</b>, working alongside engineers, architects, and product teams.</p><p>
You will help transform existing platform assets and business requirements into structured, <b>reusable engineering artefacts</b>, supporting delivery through <b>spec-driven, thin-slice development</b>.</p><p>
You will also support the <b>responsible use of AI-generated outputs</b> by validating accuracy, completeness, security, and alignment with Vodafone engineering standards.</p><p>
Given the responsibilities outlined above, the role includes:</p><ul><li>
Supporting analysis of existing systems to extract <b>business logic, integrations, and reusable capabilities</b></li><li>
Generating <b>structured engineering artefacts</b> to support consistent delivery</li><li>
Contributing to <b>AI-assisted development workflows</b>, ensuring alignment between requirements, specifications, and implementation</li><li>
Supporting <b>incremental, thin-slice delivery</b> of platform capabilities</li><li>
Working closely with developers, architects, and product teams to maintain <b>quality, consistency, and delivery pace</b></li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><ul><li>Use AI tools to support <b>analysis of existing codebases and services</b>, identifying reusable logic and integration patterns</li><li>
Generate and refine <b>specifications, acceptance criteria, and user stories</b> aligned to platform architecture</li><li>
Create <b>test scenarios and validation artefacts </b>derived from specifications</li><li>
Support translation of <b>business requirements into implementation-ready engineering artefacts</b></li><li>
Work with developers to ensure <b>alignment between specifications, code, and testing outputs</b></li><li><b>
Validate AI-generated specifications, code suggestions, test scenarios, and documentation</b> to ensure they are accurate, secure, consistent, and aligned with platform architecture and engineering standards</li><li>
Support <b>responsible AI-SDLC practices</b> by identifying risks such as hallucinated requirements, incomplete logic, security gaps, or misalignment between business intent and implementation</li><li>
Contribute to <b>incremental, thin-slice delivery</b>, maintaining traceability between requirements, specifications, and implementation</li><li>
Assist in the <b>implementation of services, APIs, and platform components</b>, validating AI-generated outputs</li><li>
Participate in agile ceremonies (refinement, planning, stand-ups, retrospectives)</li><li>
Contribute to <b>AI-SDLC practices, templates, and continuous improvement across the squad.</b></li><li><b>
AI-Assisted Engineering</b> - Understanding of how AI tools support system analysis, specification, and delivery workflows</li><li><b>
Software Engineering Fundamentals</b> - Knowledge of APIs, data structures, and system design basics</li><li><b>
AI Governance and Validation</b> - Awareness of responsible AI usage in software delivery, including validation of AI-generated outputs, traceability, quality control, and security considerations</li><li><b>
Collaboration </b>- Works effectively in cross-functional squads, supporting engineers and product teams</li><li><b>
Communication</b> - Able to clearly document specifications and communicate technical concepts</li><li><b>
Learning Mindset</b> - Strong curiosity and ability to rapidly adopt new tools and practices</li><li><b>
Agile Delivery</b> - Exposure to iterative delivery, CI/CD, and continuous improvement practices</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who you are</b></h2></div><p></p><div><br>
<ul><li>
Experience with at least one programming language (e.g. Java, Python, JavaScript or similar)</li><li>
Understanding of <b>APIs, web services, and basic system integration concepts</b></li><li>
Familiarity with <b>modern development workflows (Git, CI/CD basics)</b></li><li>
Awareness of <b>AI/LLM tools and their application in software development</b></li><li>
Exposure to <b>cloud-native development concepts</b> (e.g. microservices, containers, or cloud platforms)</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Not a perfect fit?</b></h2>
</div><div><p>
Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
VOIS Equal Opportunity Employer Commitment</b></h2>
</div><div><p>
Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
<br>
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
<br>
With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Alert
</b></h2></div><div><p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
<br>
#JDEnhancedByTARA</p></div></div></div></div>

Junior AI Software Engineer

MarketCast

<div>
 <strong>
  Junior Data Scientist - Product
  <br/>
  <br/>
 </strong>
 <strong>
  London, UK, Reading, UK
  <br/>
  <br/>
 </strong>
 <strong>
  Role Impact
  <br/>
  <br/>
 </strong>
 As our Junior Data Scientist - Product, you'll be a pivotal player on our Data Science Product Team, which currently comprises about 15 data scientists with varying levels of seniority.
 <br/>
 <br/>
 The Junior Data Scientist - Product plays a foundational role in supporting the design, engineering, execution, and delivery of advanced data science projects and market research products at Marketcast. Operating at the intersection of quantitative market research, software engineering, and artificial intelligence, this position focuses on building the backend systems and data pipelines that clean, process, and analyse complex datasets to extract actionable consumer insights. On a daily basis, the Junior Data
 <br/>
 <br/>
 Scientist assists in writing production-quality code, developing and maintaining data pipelines, implementing machine learning models, and translating analytics into robust, reusable product features under senior guidance. By ensuring high data quality, engineering rigour, and contributing to innovative product features, this individual directly enhances the reliability and scalability of the organisation's media and entertainment analytics.
 <br/>
 <br/>
 <strong>
  We're Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data Engineering and Pipeline Development &ndash; Design, build, and maintain reliable data pipelines that clean, preprocess, and structure complex quantitative datasets using Python, SQL, pandas, and modern data tooling. This technical processing is performed systematically and reproducibly, with an emphasis on well- structured, version-controlled, and testable code to prepare raw survey and consumer data for downstream statistical models. Ensuring clean inputs and resilient pipelines directly prevents model drift and maintains the reliability of product outputs. Success in this responsibility is defined by the timely delivery of error-free, analytical-ready, and maintainable data pipelines to senior data scientists.
  </li>
  <li>
   Quantitative Analysis &amp; Modelling - Assist in executing statistical analyses, regression modelling, and audience segmentation under the guidance of senior team members, with a strong emphasis on mathematical rigour and a sound understanding of the methods being applied rather than their black-box use.
  </li>
  <li>
   Backend &amp; Software Development - Contribute to the backend services, APIs, and codebases that power our data products, writing clean, tested, and well-documented code under senior guidance. The analyst works within standard software engineering practices - version control, code review, automated testing, and CI/CD - to ship features that are reliable and maintainable rather than one-off scripts. This software-first approach ensures our analytical work translates into durable product infrastructure. Success is measured by code quality, adherence to engineering standards, and the stability of contributions in production.
  </li>
  <li>
   Infrastructure &amp; Deployment - Support the deployment, monitoring, and scaling of data science workloads across our cloud and infrastructure stack (e.g. containers, orchestration, and managed cloud services) under supervision. The analyst helps operationalise models and pipelines so they run reliably and cost-effectively at scale, contributing to the team's MLOps and engineering practices. This focus on robust infrastructure reduces manual intervention and improves the reliability of our products. Performance is evaluated on the stability, reproducibility, and efficiency of deployed workloads.
  </li>
  <li>
   AI &amp; LLM Integration - Support the integration of artificial intelligence APIs, large language models (LLMs), and natural language processing pipelines into existing data products. Under supervision, the analyst helps configure frameworks to streamline analytical workflows, saving dozens of hours of manual coding on client projects. Performance is evaluated on the efficiency, robustness, and classification accuracy of the automated NLP routines.
  </li>
  <li>
   Data Quality &amp; Validation - Execute rigorous quality control protocols across all assigned data products and research databases, including automated tests and validation checks wherever possible. The Junior Data Scientists systematically validate schemas, sample distributions, and statistical weights to verify data integrity, treating data validation as an engineering discipline. This preventative auditing mitigates the risk of reporting flawed conclusions to high-profile entertainment clients. Successful execution is measured by the complete absence of formatting or calculation errors in final delivery files.
  </li>
  <li>
   Client Collaboration &amp; Technical Delivery &ndash; Work closely with product managers, engineers, and senior data scientists in a collaborative, software-development style &ndash; gather requirements, contributing to technical scoping, and participating in agile ceremonies and code reviews.
  </li>
  <li>
   Cross-Functional Initiative Support - Participate actively in company-wide product development initiatives, research-on-research experiments, and technical thought leadership groups. The Junior Data Scientist collaborates across data operations, cloud engineering, product, and engineering departments to support the trial of new analytical and engineering methodologies. This cross-pollination of ideas ensures the product data science team remains at the forefront of marketing science and technical innovations. Engagement in these initiatives is demonstrated by active participation in internal sharing sessions and support for pilot projects.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We genuinely don&rsquo;t mind what is written on your certificate. While we would love you to have a formal qualification in any discipline that builds strong analytical and problem-solving skills, we primarily care that you're clever, rigorous, and can do the job. Equivalent practical experience - whether self-taught, through bootcamps, open-source contributions, a strong portfolio, or prior industry work - is just as welcome as a formal degree.
  </li>
  <li>
   A successful applicant must demonstrate solid programming ability (Python and ideally SQL) and an interest in writing good, maintainable software - not just scripts.
  </li>
  <li>
   A successful applicant must further demonstrate a genuine appetite for technical depth, mathematical rigour, and continuous learning.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, and backed by proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of
 <br/>
 <br/>
 seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
 <br/>
 <br/>
 At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Check us out on LinkedIn and at: www.marketcast.com
 <br/>
 <br/>
 <strong>
  Our Values
  <br/>
  <br/>
 </strong>
 <strong>
  Move The Needle
  <br/>
  <br/>
 </strong>
 We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
 <br/>
 <br/>
 <strong>
  Client Success is Our Scoreboard
  <br/>
  <br/>
 </strong>
 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
 <br/>
 <br/>
 <strong>
  Grow Every Day
  <br/>
  <br/>
 </strong>
 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
 <br/>
 <br/>
 <strong>
  Own It
  <br/>
  <br/>
 </strong>
 Take responsibility for outcomes, not just outputs.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Free movie tickets!
  </li>
  <li>
   29 days annual leave PLUS Bank Holidays
  </li>
  <li>
   Flextime with core hours between 10am and 3pm
  </li>
  <li>
   2 days&rsquo; work from home per week
  </li>
  <li>
   4% match pension scheme
  </li>
  <li>
   Enhanced maternity pay
  </li>
  <li>
   Regular social events in both UK locations
  </li>
  <li>
   Professional growth and career development including LinkedIn Learning
   <br/>
   <br/>
  </li>
 </ul>
 In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
 <br/>
 <br/>
 GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it&rsquo;s used, and how it's protected, please contact the MarketCast UK HR Team.
</div>


Junior Data Scientist I

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Junior Analytics Engineer<p><b>
Job Description Summary</b></p><p><b>
Job Description</b></p><p>
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</p></li><li><p>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</p></li><li><p>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</p></li><li><p>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</p></li><li><p>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</p></li><li><p>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</p></li><li><p>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</p></li><li><p>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</p></li><li><p>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</p></li><li><p>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</p></li><li><p>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</p></li><li><p>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</p></li><li><p>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</p></li></ul><p></p><p><b>
Requirements:</b></p><ul><li><p>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</p></li><li><p>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</p></li><li><p>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</p></li><li><p>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</p></li><li><p>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</p></li><li><p>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</p></li><li><p>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</p></li><li><p>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</p></li><li><p>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</p></li><li><p>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</p></li><li><p>
Good communication skills, with the ability to ask clear questions and document work clearly.</p></li><li><p>
Knowledge of the real estate sector is a plus but not required.</p></li><li><p>
Fluent in English; additional European languages are an advantage.</p></li></ul><p></p><p><br>
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact.</p><br>
<p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

Healios

<div><p><b>POSITION:</b> Permanent, Full Time (37.5 Hours Per Week)</p>
<p><b>
LOCATION:</b> Remote (UK)</p>
<p><b>
SALARY: </b>&pound;35,000 to &pound;50,000 per year</p>
<p><b>
Reports to:</b> Senior Software Engineer</p><br>
<p></p>
<p><b>
United by our vision. Leading with empathy. Pioneers in curiosity.</b></p>
<p>
Healios exists to bring exceptional healthcare to anyone, anytime, anywhere. By digitising entire clinical pathways, we enable children, adults and their family members to receive and seamlessly transition between clinical services from the comfort of their home.</p>
<p>
Innovation is at the heart of what we do as we strive to be the leading provider of neurodevelopmental and associated mental health services. We are a remote-first organisation that embraces diversity in all its forms and offers flexibility for our people. You can find out more about us by clicking here!</p>
<p><b>
&quot;Great minds </b><b><i>don't</i></b><b> think alike&quot;</b></p>
<p>
From our talented tech teams to our standout clinical expertise, we bring great minds together to build more accessible services. Our software supports clinicians, young people and families through some of the most important moments of their lives, so it needs to be reliable, secure and built with care.</p><br>
<p></p>
<p><b>
Our values</b></p>
<p>
Our values shape how we build, collaborate and care for everyone we support. We look for people whose own values align with them:</p>
<ul>
<li>Do the right thing</li>
<li>Act with integrity</li>
<li>Be a great listener</li>
<li>Deliver your best work</li>
<li>Be truly courageous</li></ul><br>
<p></p>
<p><b>
About the role</b></p>
<p>
As an Associate Software Engineer at Healios, you'll join a mission-led, collaborative team that values clarity and simplicity. You'll contribute to real product features from your first weeks, with the support, mentorship and space you need to deepen your craft and grow into ownership.</p>
<p>
Your work will contribute to one of our three strategic areas: improving the experience of the clinicians who use our platform, making client operations sustainable as we grow, or giving our partners the confidence to expand their work with us.</p>
<p>
You'll work closely with experienced engineers, analysts and tech associates, who are colleagues from across clinical, operations and commercial, on problems that improve the lives of young people and families. We'll support you to write maintainable code, understand the full lifecycle of software, and make thoughtful decisions as part of a cross-functional team.</p><br>
<p></p>
<p><b>
What you'll do</b></p>
<ul>
<li>Build and improve real, user-facing features alongside senior engineers and tech associates</li>
<li>Write clean, readable, well-tested code, learning our standards and patterns as you go</li>
<li>Take small tasks and slices of work from start to finish, raising blockers early</li>
<li>Take part in code reviews and pairing, giving and receiving feedback openly</li>
<li>Grow your understanding of our architecture, asking good questions about how things fit together</li>
<li>Share progress clearly and often in a remote, asynchronous team</li></ul><br>
<p></p>
<p><b>
Our stack</b></p>
<p>
We build primarily in Ruby on Rails, but we hire for the engineer rather than the framework. Strong full-stack fundamentals matter more to us than years on any one tool.</p>
<ul>
<li><b>The app: </b>Ruby on Rails modular monolith, ViewComponents, Turbo</li>
<li><b>Testing: </b>RSpec</li>
<li><b>Database: </b>PostgreSQL</li>
<li><b>Hosting and infrastructure: </b>AWS, Kubernetes, Docker</li>
<li><b>Background jobs: </b>Sidekiq</li>
<li><b>CI/CD: </b>GitHub Actions</li>
<li><b>Monitoring: </b>Grafana, Sentry</li></ul><br>
<p></p>
<p><b>
Need to have</b></p>
<ul>
<li>Some experience, up to ~2 years building and maintaining web applications (commercial, internship, bootcamp or substantial personal and open-source work all count)</li>
<li>Comfortable working full-stack in a modern web framework. Ruby on Rails ideally, though strong fundamentals in a similar stack are welcome and capability to learn</li>
<li>A working grasp of MVC, automated testing, version control (Git) and the basics of web security</li>
<li>Clear, thoughtful written communication and a real appetite to learn by doing</li>
<li>A product mindset, with curiosity about how your work affects real users</li>
<li>A commitment to safeguarding and ethical practice, as we build for children, young people and families</li></ul><br>
<p></p>
<p><b>
Desirable</b></p>
<ul>
<li>Hands-on experience with parts of our stack, especially Ruby on Rails, Hotwire, Turbo and Tailwind</li>
<li>Early exposure to cloud, infrastructure or DevOps-adjacent work (AWS, Docker, CI/CD, observability), which you'll have room to grow here</li>
<li>Curiosity about using AI tools to produce better work, not only faster work</li>
<li>A history of seeing tasks through to completion and contributing through prototyping</li>
</ul>
<p><i>If you don't meet every point above, please apply anyway. We are more interested in how you think and learn than in a perfect checklist, and we would be glad to consider your application.</i></p><br>
<p></p>
<p><b>
What's in it for you</b></p>
<ul>
<li>33 days holiday (including Bank Holidays)</li>
<li>Paid Christmas closure (between Christmas and New Year)</li>
<li>Birthday Leave - paid day off on your birthday</li>
<li>&quot;Life Leave&quot; - 2 days of extra leave to take when things you can't plan for happen</li>
<li>Enhanced family friendly policies including a phased return to work and receive full pay</li>
<li>Paid company sick pay scheme</li>
<li>Contributory Pension Scheme (6% matched)</li>
<li>Employee Discount to access a private assessment (for ADHD, Autism or a combined assessment) through our service for your child</li>
<li>Fully personalised flexible benefits package including; Health Cash Plan, Life Assurance, EAP Service, Will Writing, Critical Illness Cover, employee discount and savings portal, Cycle to Work Scheme, Tech Scheme and Wine Club!</li>
<li>Work from anywhere for up to 6 months per year policy</li>
<li>Free access to co-working spaces</li>
<li>CPD/Growth day per year, plus personal development allowance to invest in your growth Bespoke Healios Training and on demand learning including schedule of monthly CPD for clinicians</li></ul><br>
<p></p>
<p><b>
A note on your application</b></p>
<p>
We use AI at Healios and we're glad you might too. But please apply as you: we read every application, and a personal one, written in your own words and about your own experience, will stand out more than something clearly generated against this advert. Tell us who you are and why Healios, because that is what we are looking for.</p><br>
<p></p>
<p><b>
How to apply</b></p>
<p>
Apply through the link on this page with your CV and a short note about why this role and Healios appeal to you. A formal cover letter is not needed.</p>
<p>
What to expect: an initial conversation with someone from the team, a practical stage that reflects the kind of work you would actually do rather than abstract puzzles, and a final conversation with the people you would be working alongside. We aim to keep this to 2 stages over around 2<b> </b>weeks, and we will let you know where you stand at each step. A real person reads every application.</p><br>
<p></p>
<p><b>
Accommodations</b></p>
<p>
If you need any adjustments to take part fully, let us know. We are glad to make them for the application, interviews and onboarding, and we are always learning about different accessibility needs so we can adapt. Healios is a Disability Confident Committed Employer, committed to inclusivity and equality for people with different needs in the workplace.</p>
<p>
Healios is a Disability Confident Committed Employer and we are committed to inclusivity and equality for people with different needs in the workplace.</p><div><p><b>
DIVERSITY AND INCLUSION</b></p>
<p>
&quot;Do the right thing&quot; is one of our core Healios values. And building a diverse and inclusive workplace where everyone feels supported is absolutely the right thing to do. Whether we're developing a new service line or enhancing one of our products, we need people with different skills, backgrounds, identities and perspectives to ensure our innovations will work for the children and young people we are here to serve. By embracing diversity, we can deliver better care experiences and outcomes, while tackling the inequalities in healthcare provision that exist today.</p><br>
<p></p>
<p><b>
SAFER RECRUITMENT &amp; PRE- EMPLOYMENT CHECKS</b></p>
<p>
Healios ensures that supporting people to be safe is at the heart of our work and a key priority across all areas of the organisation, We will do our absolute best to keep the people that we support, safe from harm. This starts with our recruitment processes.</p>
<p>
As part of our pre-employment checks, all employees of Healios will be asked to have a Disclosure and Barring Service (DBS) check. Dependent on your role within the business, this will either be an Enhanced or Basic. A Protecting Vulnerable Groups (PVG) check will be required. You will also be asked to provide two professional references as a minimum.</p></div></div><p></p>

Asssociate Software Engineer

Talan

<div><b>Company Description</b><p><br>
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).</p><b><br>
Job Description</b><p><br>
As our AI practice grows, we are looking for a capable, hands-on AI Engineer to help build and deliver the solutions at the heart of our client work. Coming from a data science background, you are equally comfortable applying proven machine-learning techniques to traditional analytics problems and working with the latest generative AI (large language models, retrieval-augmented generation, and agent-based applications). You enjoy building, you write dependable code, and you turn well-defined designs into working software.</p><p>
This is a delivery-focused role that sits a level below our Lead Data Scientists. You will own meaningful workstreams within a project rather than the whole engagement, working to an architecture and plan shaped by more senior colleagues. In return, you will gain breadth across modern AI, exposure to real client problems,</p><p>
You will also be a supportive presence within the team, helping your peers solve problems, sharing what you learn, and giving day-to-day guidance to graduate and junior resources working alongside you.</p><p><b>
Required skills &amp; experience:</b></p><ul><li>
Build, test, and deploy AI and machine learning components within client projects to the standards and designs set by senior colleagues.</li><li>
Develop GenAI and LLM-based features (prompting, retrieval-augmented generation, and simple agentic workflows) alongside more traditional ML models.</li><li>
Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them.</li><li>
Translate solution designs into clean, well-documented, production-minded code.</li><li>
Contribute to model evaluation, testing, and monitoring.</li><li>
Support and guide very junior and graduate resources, reviewing their work and helping them grow.</li><li>
Help peers unblock technical problems and share knowledge across the team.</li><li>
Take part in client and team discussions and communicate your work clearly.</li></ul><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><ul><li>Typically, 2&ndash;4 years' experience in data science, machine learning, or AI engineering.</li><li>
Solid grounding in core data science and machine learning.</li><li>
Practical experience with LLMs and generative AI, including prompting and RAG.</li><li>
Familiarity with how AI agents are built and orchestrated.</li><li>
Strong Python and common data/ML libraries; good engineering habits.</li><li>
Clear communicator and collaborative team player.</li></ul><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><ul><li>
Exposure to cloud AI platforms, Azure a plus.</li><li>
Experience practicing MLOps and LLMOps.</li><li>
Early experience mentoring junior colleagues.</li><li>
Interest in consulting and client-facing delivery.</li></ul><p><b>
You must be:</b></p><ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul><p>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul><p><b>
Why join:</b></p><p>
This is a role built for momentum, working across the full spectrum of modern AI, learning from senior architects and leads on real engagements, with genuine responsibility from day one and a clear path into a leadership track.</p></div>

AI Engineer (LLMs, Agents & Applied Data Science)

NatWest Group

<div><p>Closing date for applications: 03/07/2026</p>
<div>
<div><p>Location London, United Kingdom</p>
</div><div><p>Salary &pound;75,520 &ndash; &pound;113,280</p>
</div><div><p>Job typePermanent | Contract typeFull Time</p>
</div><div><div><p>Remote / On-site Hybrid</p>
<p></p><div><div><p>You&rsquo;ll spend some of your time at home, working with your team digitally. You&rsquo;ll also regularly work at your office or hub to collaborate with your colleagues.</p>
</div></div></div></div><div><div><p>Managerial / Technical Lead</p>
<p></p><div><div><p>This is a general indication and doesn&rsquo;t always reflect day-to-day responsibilities. Check the job description for full details.</p>
</div></div></div></div></div><p>#R-00278287</p><br>
<div></div>
<p></p><div>
</div><div><div><div><h2 class="jobSectionHeader"><b>Join our digital revolution in NatWest Digital X</b></h2>
<p>In everything we do, we work to one aim. To make digital experiences which are effortless and secure.</p>
<p>So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.</p>
</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<p>This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.</p>
<p></p><div><p>Join us as a Software Engineer, Full Stack</p>
<p></p><ul><li>This is an opportunity for a technically minded individual to join us as a Software Engineer</li>
<li>You&rsquo;ll be designing, producing, testing and implementing working software, working across the lifecycle of the system</li>
<li>Hone your existing software engineering skills and advance your career in this critical role</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What you'll do</b></h2>
<p></p><p>Working in a permanent feature team, you&rsquo;ll be developing knowledge of aspects of the associated platform across the disciplines of business, applications, data and infrastructure. You&rsquo;ll also be liaising with principal engineers, architects in the domain and other key stakeholders to understand how the platform works and how it supports business objectives.</p>
<p></p><p>You&rsquo;ll also be:</p>
<p></p><ul><li>Applying Agile methods to the development of software on the backlog</li>
<li>Producing resilient and long-lived software and acting flexibly to cope with future needs</li>
<li>Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping</li>
<li>Designing and developing software with a focus on the automation of build, test and deployment activities, using executable patterns</li>
</ul><p></p><h2 class="jobSectionHeader"><b>The skills you'll need</b></h2>
<p></p><p>We&rsquo;re looking for someone to join our high performance engineering team building our new real time banking platform. You&rsquo;ll bring strong experience of working with Continuous Deployment practices in production environments; You&rsquo;ll have experience building and operating services using Spring Boot in cloud native environments, with automation as a core engineering principle. You&rsquo;ll also bring front‑end experience using React, alongside familiarity with Node.js and Backend for Frontend (BFF) patterns.</p>
<p></p><p>You&rsquo;ll be comfortable designing and delivering robust, scalable and resilient systems, contributing to engineering standards and practices across the platform. Exposure to agentic coding practices where it adds value, would be hugely beneficial.</p>
<p></p><p>You'll also need:</p>
<p></p><ul><li>The ability to coach and mentor, with a passion for supporting and developing more junior colleagues</li>
<li>Experience building modern, responsive UIs with React and TypeScript, including use of shared component libraries and feature flags to support continuous delivery and progressive rollout</li>
<li>Strong understanding of accessibility and performance, with experience optimising across the stack such as React rendering patterns, API design, and frontend performance</li>
<li>Experience designing and building BFF services using Node.js such as Next.js, with a solid grounding in API and microservice design patterns and familiarity with Kafka and event driven architectures is advantageous</li>
<li>Experience working in empowered, autonomous teams where engineering excellence is aligned to product outcomes</li>
</ul></div><div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Your benefits breakdown</b></h2>
<p>Here&rsquo;s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.</p>
<p>Please note, the presented benefits packages are based on the minimum base salary.</p>
<p>Tap each segment for details.</p>
</div><div><h3 class="jobSectionHeader"><b>Your pay package</b></h3>
<div><div><p>&pound;</p>
</div></div></div><p></p><div><div><h3 class="jobSectionHeader"><b>Your leave allowance</b></h3>
<div><p>30 days Annual leave You&rsquo;ll also have the opportunity to purchase up to 5 additional days off.</p> <p>3 days Volunteering Take time off to support the causes you&rsquo;re passionate about.</p> <p>3 days Training Take time to build the skills you need to grow your career.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Total rewards package</b></h3><br>
<p></p>
</div><div>
</div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Welcome to our Bishopsgate hub</b></h2>
<p>Based only a few minutes&rsquo; walk from Liverpool Street Station, the central location of this office makes working there incredibly convenient. Everything you need is close by, so you can run errands, go to the gym, and socialise with friends and colleagues before and after work.</p>
<p>Bishopsgate recently underwent a multi-year refurbishment programme to improve spaces and facilities as well as become more sustainable.</p>
</div></div></div></div></div></div><p></p><div><div><div><div><h3 class="jobSectionHeader"><b>Our tech stack</b></h3>
<p>Here&rsquo;s just some of the technologies we use.</p>
</div><div><h3 class="jobSectionHeader"><b>Front end</b></h3>
<div><ul><li>JavaScript</li>
<li>ReactJS</li>
<li>AngularJS</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Back end</b></h3>
<div><ul><li>Python</li>
<li>Java</li>
<li>Microsoft Dynamics</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>DevOps</b></h3>
<div><ul><li>AWS</li>
<li>GitLab</li>
<li>Google Cloud Platform</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Data</b></h3>
<div><ul><li>Kafka</li>
<li>Hadoop</li>
<li>PostgreSQL</li>
<li>Snowflake</li></ul></div></div></div></div></div></div>

Software Engineer, Full Stack

Few&Far

<div>
 <p>
  🚨
  <strong>
   Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
  </strong>
  🚨
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 </p>
 <p>
  <br/>
 </p>
 <p>
  💰
  <strong>
   Up to &pound;525 per day
  </strong>
 </p>
 <p>
  📍
  <strong>
   London - 1 day per week onsite
  </strong>
 </p>
 <p>
  📄
  <strong>
   Outside IR35
  </strong>
 </p>
 <p>
  ⚡
  <strong>
   1-stage interview process
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll be working on:
 </p>
 <p>
  ✅ Modernising data lake &amp; data warehouse architecture
 </p>
 <p>
  ✅ Designing, building and optimising ETL/ELT pipelines
 </p>
 <p>
  ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 </p>
 <p>
  ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 </p>
 <p>
  ✅ Writing high-performance SQL and production-quality Python
 </p>
 <p>
  ✅ Improving platform reliability, monitoring and CI/CD
 </p>
 <p>
  ✅ Collaborating with stakeholders to deliver scalable data solutions
 </p>
 <p>
  ✅ Mentoring junior engineers through code reviews and best practices
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack:
  </strong>
 </p>
 <p>
  ☁️ AWS
 </p>
 <p>
  🐍 Python
 </p>
 <p>
  🗄️ SQL
 </p>
 <p>
  🔄 Airflow (AWS)
 </p>
 <p>
  📊 Looker (nice to have)
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm keen to speak with Data Engineers who have:
 </p>
 <p>
  ✔️ Strong experience building production-grade data pipelines
 </p>
 <p>
  ✔️ Advanced SQL and Python skills
 </p>
 <p>
  ✔️ Experience deploying and supporting ML models in production
 </p>
 <p>
  ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 </p>
</div>


Senior Data Engineer

Explore 293+ Junior software engineer in London this July. Find roles across top companies and apply now to boost your career.