machine learning engineer

ai engineer

senior software engineer

full stack engineer

software engineer

junior software engineer

Homey

<div>
 <strong>
  About Homey
  <br/>
  <br/>
 </strong>
 Moving home in the UK is notoriously slow and stressful. At Homey, we are changing that. We are an established, fast-growing business using technology to streamline property transactions, making the process faster, more transparent, and more efficient for everyone involved.
 <br/>
 <br/>
 <strong>
  Check us out at Homey.co.uk.
  <br/>
  <br/>
 </strong>
 The Role
 <br/>
 <br/>
 We aren't looking for 10 years of legacy experience. We are looking for smart, adaptable, and ambitious engineers&mdash;whether you&rsquo;ve just graduated, finished school, or are early in your coding journey.
 <br/>
 <br/>
 At Homey, we don't care if you haven't memorized every syntax rule&mdash;we care that you know how to build things fast. We are looking for "AI-Native" engineers: people who see LLMs (like Claude Code, Grok, or GitHub Copilot) as their superpower to ship high-quality code at speed.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Build &amp; Iterate:
 </strong>
 Develop and maintain features that directly impact how people buy and sell homes.
 <br/>
 <br/>
 <strong>
  Leverage AI:
 </strong>
 Use modern AI coding agents and LLMs to accelerate your workflow, debug complex issues, and explore new solutions.
 <br/>
 <br/>
 <strong>
  Problem Solve:
 </strong>
 Take ownership of tasks from day one with a "can-do" attitude&mdash;if you don't know the answer, you'll find it.
 <br/>
 <br/>
 <strong>
  Collaborate
 </strong>
 : Work closely with a nimble team that values fresh perspectives and creative thinking.
 <br/>
 <br/>
 Who You Are
 <br/>
 <br/>
 <strong>
  Early Career:
 </strong>
 You are a recent graduate, school leaver, or junior dev looking for a place to grow.
 <br/>
 <br/>
 <strong>
  Tech Enthusiast
 </strong>
 : You aren't just "aware" of AI; you are actively using tools like Claude Code, Grok, or Cursorto write and refine your projects.
 <br/>
 <br/>
 <strong>
  High Energy
 </strong>
 : You have a "can-do" mindset. No task is too small, and no challenge is too big.
 <br/>
 <br/>
 Curious: You have a genuine interest in how technology can disrupt a traditional industry like real estate.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Work at an established company with the soul of a startup.
 <br/>
 <br/>
 <strong>
  Mentorship From Experienced Founders Who Value Modern Development Workflows.
  <br/>
  <br/>
 </strong>
 The chance to solve a real-world problem that affects millions of people.
 <br/>
 <br/>
 Ready to build the future of property? Apply with a link to your GitHub, a project you&rsquo;ve built using AI, or just a note on why you&rsquo;re the right fit for Homey.
</div>


Junior Software Engineer (AI-Native)

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

Intellect Group

<div>
 <p>
  <strong>
   Graduate Software Engineer (C++) &ndash; Trading Technology
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you a recent graduate looking to build a career as a deep technologist?
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re working with a leading trading technology company that is expanding its engineering team and looking to hire talented Graduate Software Engineers. Following the success of previous graduate hires, they are now keen to bring in individuals with a strong technical foundation and a passion for software development.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a unique opportunity to gain hands-on experience in a high-performance environment, working on low-latency trading systems, cutting-edge data and analytics, and critical trading infrastructure from day one.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we&rsquo;re looking for:
  </strong>
 </p>
 <ul>
  <li>
   A degree in Computer Science, Engineering, or a related field
  </li>
  <li>
   Strong, demonstrable software development skills
  </li>
  <li>
   Experience with or exposure to C++ (highly desirable)
  </li>
  <li>
   A genuine interest in building high-performance, scalable systems
  </li>
  <li>
   Curiosity and drive to become a deep technical expert
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll get:
  </strong>
 </p>
 <ul>
  <li>
   Immediate exposure to real-world, high-impact systems
  </li>
  <li>
   The chance to work alongside experienced engineers in a fast-paced environment
  </li>
  <li>
   A clear pathway to becoming a specialist in low-latency and trading technologies
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;re passionate about technology and want to work at the cutting edge of trading systems, we&rsquo;d love to hear from you.
 </p>
</div>


Graduate Software Engineer

AI Security Institute

<div><h3 class="jobSectionHeader"><b>Application Process &amp; Requirements:</b></h3><p><b>
Interview Process</b></p><ul><li><b>
Technical roles: </b>Our technical roles' process includes submitting a CV and short written statement, 1-2 skills assessments such as technical interviews and take-home coding tests and 2-4 interviews, including a conversation with leadership. We tailor this process as needed for each role and candidate. If you're applying to our technical roles, this privacy policy applies.</li><li><b>
Non-technical roles: </b>Our non-technical roles' process includes submitting a CV, 2-4 interviews including a conversation with leadership and sometimes presentation or take-home task assessments. While our interviews follow civil service requirements, we do not require answering in STAR or other rigid formats. We recommend preparing to speak about your past career experience and how you would approach problems you would face in your AISI role.</li></ul><p><b>
Nationality Requirements &amp; Visas</b></p><ul><li><b>
Technical roles:</b> we can hire almost all nationalities and sponsor visas.
</li><li><b>Non-technical roles: </b>you must meet civil service nationality requirements (by having Commonwealth citizenship, indefinite leave to remain, EU settled status, or meeting some other criteria).</li></ul><p><b>
National Security Vetting<br>
</b><br>
</p><ul><li>Requirements vary by role and <b>not all roles require vetting; check each job ad.</b></li><li>
Counter Terrorism Check (CTC) and Security Clearance (SC) <b>vettings usually require 2+ years of recent UK residency</b>. Developed Vetting (DV) clearances usually require 10+ years.</li></ul><p><b>
Technical Salaries</b></p><br>
<ul><li>
On technical job ads, you'll see our total packages include a &quot;base salary&quot; and a &quot;technical talent allowance&quot;. This is civil service terminology. The technical talent allowance is part of your total salary and paychecks; there are no restrictions on how you spend it.</li></ul></div>
<br><div><div><h2 class="jobSectionHeader"><b>About the AI Security Institute</b></h2>
<p>
The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We&rsquo;re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally.</p>
<p>
We&rsquo;re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action.</p></div><div><div>
<div>
<div><div><h2 class="jobSectionHeader"><b>Role Description</b></h2>
<p>
The AI Security Institute's Research Unit is looking for motivated and talented Software Engineers to join AISI's Core Technology Team. We are looking for exceptional candidates at all experience levels, from junior through to senior or staff, to work in small teams on a range of critical research-oriented software and infrastructure.</p>
<p>
In this role, you&rsquo;ll work with cutting-edge technologies on research problems with real-world impact, and receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff (including alumni from Anthropic, DeepMind, OpenAI, Google, Apple, and professors from Oxford and Cambridge).</p>
<h3 class="jobSectionHeader"><b>
About our Core Technology Team</b></h3>
<p>
AISI Core Technology Team comprises several teams building tools and infrastructure used across all of our research work. This includes projects like Inspect (our open-source evaluation framework), systems for running evaluations at scale, and hosting frontier open-weights models for evaluations or human studies.</p>
<p>
As a software engineer on one of these teams, you might:</p>
<ul>
<li>Add a feature to one of our &ldquo;sandbox plugins&rdquo; for Inspect, supporting advanced agentic evals with safe mechanisms to let models write and execute arbitrary code</li>
<li>Implement support for a new class of open-weights model on our model hosting platform</li>
<li>Support a research team with designing custom infrastructure for a new research project</li>
<li>Collaborate with the open-source community on a feature in Inspect or Inspect's plugin ecosystem</li>
<li>Assist with an evaluation testing exercise of a frontier AI model, debugging issues that appear in Inspect from API changes in the lab's latest SDK</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Person Specification</b></h3>
<div>
<p>You may be a good fit if you have <b>some</b> of the following skills, experience and attitudes:</p>
<ul>
<li>Writing production quality code at fast pace.</li>
<li>Designing, shipping, and maintaining complex tech products.</li>
<li>Improving technical standards across a team, through mentoring and feedback.</li>
<li>Strong written and verbal communication skills.</li>
<li>Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab).</li>
<li>Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling.</li>
<li>Experience building and maintaining systems on AWS or other cloud providers using infrastructure-as-code.</li>
</ul>
<p>Motivated candidates are encouraged to apply even if you don't meet all the above criteria.</p>
<h3 class="jobSectionHeader"><b>
Required Experience</b></h3>
<p>
We select based on skills and experience regarding the following areas:</p>
<ul>
<li>Writing production quality code</li>
<li>Writing code efficiently</li>
<li>Python</li>
<li>Written communication</li>
<li>Verbal communication</li>
<li>Teamwork</li>
<li>Interpersonal skills</li>
<li>Tackling challenging problems</li>
</ul><h3 class="jobSectionHeader"><b>Desired Experience</b></h3>
<p>
We additionally may factor in experience with particular areas like:</p>
<ul>
<li>Expertise in Cloud Infrastructure or Dev Ops (AWS, Azure, Kubernetes, Terraform, CDK, Docker, etc.)</li>
<li>Cybersecurity expertise</li>
<li>ML Ops (vLLM, agent frameworks, fine-tuning, RAG systems, etc.)</li></ul></div><br>
</div>
</div></div></div><p></p><div><h2 class="jobSectionHeader"><b>What We Offer</b></h2>
<p><b>
Impact you couldn't have anywhere else</b></p>
<ul>
<li>Incredibly talented, mission-driven and supportive colleagues.</li>
</ul><ul><li>Direct influence on how frontier AI is governed and deployed globally.</li>
</ul><ul><li>Work with the Prime Minister&rsquo;s AI Advisor and leading AI companies.</li>
</ul><ul><li>Opportunity to shape the first &amp; best-resourced public-interest research team focused on AI security.</li>
</ul>
<p><b>Resources &amp; access</b></p>
<ul>
<li>Pre-release access to multiple frontier models and ample compute.</li>
</ul><ul><li>Extensive operational support so you can focus on research and ship quickly.</li>
</ul><ul><li>Work with experts across national security, policy, AI research and adjacent sciences.</li>
</ul>
<p><b>Growth &amp; autonomy</b></p>
<ul>
<li>If you&rsquo;re talented and driven, you&rsquo;ll own important problems early.</li>
</ul><ul><li>5 days off and annual stipends for learning and development, and funding for conferences and external collaborations.</li>
</ul><ul><li>Freedom to pursue research bets without product pressure.</li>
</ul><ul><li>Opportunities to publish and collaborate externally.</li>
</ul>
<p><b>Life &amp; family*</b></p>
<ul>
<li>Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol.</li>
</ul><ul><li>Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment.</li>
</ul><ul><li>At least 25 days&rsquo; annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering.</li>
</ul><ul><li>Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time).</li>
</ul><ul><li>On top of your salary, we contribute 28.97% of your base salary to your pension.</li>
</ul><ul><li>Discounts and benefits for cycling to work, donations and retail/gyms.</li><br>
</ul>
<ul><li><i>These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments.</i></li></ul>
<h2 class="jobSectionHeader"><b>
Salary</b></h2>
<p>
Annual salary is benchmarked to role scope and relevant experience. Most offers land between &pound;65,000 and &pound;145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary.</p>
<p>
This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures.</p>
<p>
The full range of salaries are available below:</p>
<ul>
<li><b>Level 3:</b> &pound;65,000&ndash;&pound;75,000 (Base &pound;39,850 + Technical Allowance &pound;25,150&ndash;&pound;35,150)</li>
<li><b>Level 4:</b> &pound;85,000&ndash;&pound;95,000 (Base &pound;47,355 + Technical Allowance &pound;37,645&ndash;&pound;47,645)</li>
<li><b>Level 5:</b> &pound;105,000&ndash;&pound;115,000 (Base &pound;61,620 + Technical Allowance &pound;43,380&ndash;&pound;53,380)</li>
<li><b>Level 6:</b> &pound;125,000&ndash;&pound;135,000 (Base &pound;74,605 + Technical Allowance &pound;50,395&ndash;&pound;60,395)</li>
<li><b>Level 7:</b> &pound;145,000 (Base &pound;74,605 + Technical Allowance &pound;70,395)</li></ul><br>
<p></p>
<p></p>
<h4 class="jobSectionHeader"><b>Additional Information</b></h4>
<div><div><h3 class="jobSectionHeader"><b>Use of AI in Applications</b></h3>
<p>
Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.</p>
<h3 class="jobSectionHeader"><b>
Internal Fraud Database</b></h3>
<p>
The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register.</p>
<h3 class="jobSectionHeader"><b>
Security</b></h3>
Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance. Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here.</div>
</div><div><h3 class="jobSectionHeader"><b>Nationality requirements</b></h3>
<p>
We may be able to offer roles to applicant from <b>any nationality or background</b>. As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window).</p>
</div>
<div><h3 class="jobSectionHeader"><b>Working for the Civil Service</b></h3>
<div><div>The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.</div>
</div></div><div><h3 class="jobSectionHeader"><b>Diversity and Inclusion</b></h3>
<div>The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window). As part of the application process, we monitor statistics on D&amp;I. You can see how we process this data here: Recruitment privacy notice - GOV.UK.</div></div></div></div>

Software Engineer - Core Technology

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Behind every investment is a person with ambitions, motivations and values. While we know that every client is unique, they come to J.P. Morgan Personal Investing for the same reason: our straightforward and transparent approach to investing, and the trust that 150 years of J.P. Morgan heritage brings.</p><p>
J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to over 275,000 investors in the UK. We built the business with innovation as a core part of our ethos to give consumers the confidence and clarity to make informed investment decisions and achieve their financial goals.
</p><p>Our Back-End Engineering team is at the heart of this venture, focused on getting a great banking experience into the hands of our customers. We're looking for people who have a curious mindset, thrive in a collaborative environment, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in teams that focus on specific products and projects. Depending on your strengths and interests, you'll have the opportunity to move between them and work in projects including fraud prevention, Investments, identity services, money transfers, debit and credit card payments, core banking, insurance products, reward campaigns, call-centre supporting innovations and more.</p><p>
</p><p><b>Job responsibilities</b>:</p><ul><li>
Deliver end-to-end cutting-edge solutions in the form of cloud-native microservice architecture applications leveraging the latest technologies and the best industry practices.</li><li>
Design, estimate costs for and implement technical solutions written in Java/Kotlin</li><li>
Write unit, component, integration, end-to-end &amp; performance tests</li><li>
Support the products you've built through their entire life cycle, including production and incident management</li><li><p>
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.</p></li><li><p>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</p></li></ul><p>
</p><p><b>Required qualifications, capabilities and skills</b></p><ul><li>
Formal training or certification on Java programming concepts and proficient advanced experience</li><li>
Recent hands-on professional experience as a back-end software engineer in an agile, dynamic and customer facing environment</li><li>
Recent experience with using a JVM language (Java/Scala/Kotlin, preferably Java 8+)</li><li>
Understanding of RESTful APIs and web technologies</li><li>
Understanding of relational databases</li><li>
Experience in all the stages of software development lifecycle (requirements, design, architecture, development, testing, deployment, release and support)</li><li>
Ability to work in a dynamic, agile environment within a diverse, inclusive and geographically distributed team</li><li>
Ability to focus on promptly addressing customer needs</li><li>
Technically curious, versatile and solution</li><li>
Excellent written and verbal communication skills in English</li><li><p>
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.</p></li><li><p>
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.<br>
<br>
<b>Preferred qualifications, capabilities and skills</b></p></li><li>
Understanding of distributed systems and microservices architecture</li><li>
Understanding of cloud technologies (AWS, GCP, Azure, etc.)</li><li>
Understanding of messaging frameworks (Kafka, RabbitMQ, etc.)</li><li>
Experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines</li></ul><p>
</p><p>#ICBCareers #ICBEngineering</p>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
<br>
<div>The Cybersecurity &amp; Technology Controls group at JPMorganChase aligns the firm's cybersecurity, access management, controls and resiliency teams. The group proactively and strategically partners with all lines of business and functions to enable them to design, adopt and integrate appropriate controls; deliver processes and solutions efficiently and consistently; and drive automation of controls. The group's number one priority is to enable the business by keeping the firm safe, stable and resilient.<br>
<div></div><br>
<div><div>High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.</div></div></div></div><div></div>

Software Engineer III- JPM Personal Investing- Mid Level

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

Explore 324+ Junior software engineer in London this July. Find roles across top companies and apply now to boost your career.