Python developer jobs in United Kingdom

Are you looking to kick-start a new career as a Data Scientist? We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

we are building AlgoRisk AI – a next-generation platform that uses AI to transform how banks develop and govern financial models. We’re currently working on a number of projects across using GPT-4, React, Supabase, and modern LLM tools. This is a confidential, real-world project (not open-source). I’m inviting a small group of motivated contributors to work with me as unpaid interns or collaborators. What You’ll Gain: • Official Certificate of Contribution (AlgoRisk AI) • Mentorship from a fintech founder • Hands-on experience with real-world AI tooling • Strong reference or letter for future roles • Chance for future paid work post-MVP ⸻ Key Skills Needed (any 2–3 of these is enough): • React / Next.js (Frontend) • Supabase (Database + Auth) • OpenAI API (GPT-4/4o chat completion) • JavaScript or TypeScript • CodeMirror or Monaco Editor • Python / FastAPI (nice to have) • GitHub + version control • Curiosity to learn and build fast ⸻ Commitment: • Remote, flexible hours (20-30 hrs/week) • 3–5 weeks (initial phase) • Start immediately ⸻ How to Apply: DM us with: • Your name and country • LinkedIn or GitHub profile • A short sentence on why you’re interested Let’s build something impactful together.

Job Vacancy: Agentic AI Professional (Full-Time) Location: Canary Wharf, London (Remote or Hybrid Options Available) Type: Full-Time Sector: Artificial Intelligence, Emerging Technologies About Us: We are a forward-thinking UK-based firm at the forefront of AI innovation, focusing on the next generation of intelligent systems. Our mission is to create ethical, autonomous, and highly functional agentic AI solutions that drive transformation across industries. As we scale our operations, we're looking for a talented Agentic AI Professional who is passionate about building AI agents that can plan, reason, and act independently within complex environments. Role Overview: As an Agentic AI Professional, you will play a key role in designing, developing, and deploying autonomous agents that operate across various domains, including enterprise automation, decision-support systems, and human-AI collaboration tools. Key Responsibilities: Design and develop AI agents with goal-directed behavior and planning capabilities. Integrate LLMs, multi-agent systems, and reinforcement learning approaches. Conduct experiments and iterate based on empirical evaluation of agent performance. Work closely with product teams to deploy real-world AI solutions. Contribute to the development of safe, interpretable, and ethical agentic systems. Requirements: Proven experience working with AI agents, autonomous systems, or related fields. Strong understanding of large language models (e.g., GPT, Claude, LLaMA) and their integration with agent frameworks. Proficiency in Python and relevant AI/ML libraries (e.g., LangChain, OpenAI API, HuggingFace, PyTorch). Familiarity with agentic AI architectures (e.g., ReAct, AutoGPT, OpenAgents, or custom multi-agent systems). Experience with planning, reasoning, and memory modules. Excellent problem-solving and communication skills. Degree in Computer Science, Artificial Intelligence, or a related field (or relative experience) Preferred Qualifications: Experience deploying AI agents in production environments. Knowledge of symbolic reasoning, cognitive architectures, or goal-oriented planning. Contributions to open-source agentic AI projects. Understanding of AI ethics, safety, and alignment. What We Offer: Competitive salary and benefits package. Flexible work schedule and remote work options. Access to cutting-edge compute resources and research collaborations. Opportunity to work on high-impact projects in a fast-growing space. A culture of innovation, autonomy, and continuous learning. How to Apply: Please send your CV, a brief cover letter, and (if available) links to any relevant projects or GitHub profiles. Applications are reviewed on a rolling basis.

Job Title: Research Assistant (Remote) Company: Valutrades Location: Remote Job Type: [Full-time/Part-time/Contract] Department: Research & Strategy About Valutrades: Valutrades is a global financial services provider committed to empowering traders with the tools, knowledge, and insights they need to succeed. Our mission is to deliver a premium trading experience rooted in transparency, reliability, and continuous innovation. We're looking for a Research Assistant with hands-on trading experience through Valutrades to support our research and strategy team remotely. Position Overview: We are seeking a detail-oriented and analytical Research Assistant who has an active or past trading history with Valutrades. This remote role involves supporting the research team with market analysis, data collection, and strategic insights that help enhance trading strategies and inform business decisions. Key Responsibilities: - Conduct research and analysis on financial markets, trading instruments, and macroeconomic trends. - Analyze past and current trading data, particularly your own trading experience with Valutrades, to support strategy development. - Create and maintain research reports, dashboards, and internal documentation. - Support the development and testing of new trading strategies based on market trends and performance metrics. - Assist in preparing presentations and reports for internal and external stakeholders. - Monitor financial news and events that may impact markets and summarize key insights. - Collaborate remotely with analysts, traders, and management on research initiatives. - Requirements: - Proven trading history with Valutrades (account history will be used to confirm). - Solid understanding of trading platforms, instruments, and technical/fundamental analysis. - Excellent research and analytical skills with a keen attention to detail. - Ability to interpret and work with large sets of data. - Strong communication skills, both written and verbal. - Self-motivated and able to work independently in a remote setting. - Proficiency in Microsoft Excel, Google Sheets, or similar tools; knowledge of trading platforms and indicators is a plus. - Experience with data analysis tools or programming languages (Python, R, etc.) is advantageous but not required. - Preferred Qualifications: - Background in Finance, Economics, Mathematics, or a related field. - Familiarity with economic indicators, risk management principles, and backtesting methods. - Previous experience in a research or trading support role. - What We Offer: - Flexible remote working arrangement. - Competitive compensation based on experience and contribution. - Opportunity to influence research directions and contribute to strategic trading decisions. - Access to ongoing professional development and market education resources.

Job Overview We are looking for an experienced and results-driven Full Stack Software Development Manager to lead and inspire our team of developers in delivering scalable, secure, and high-performing web applications. The ideal candidate will have 3–5 years of full stack development experience, coupled with strong leadership skills and a solid understanding of modern software development methodologies. You will be responsible for the end-to-end delivery of technical solutions, mentoring developers, managing project timelines, and aligning development strategies with business goals. Key Responsibilities ● Lead and manage a team of full stack developers to deliver high-quality software solutions. ● Oversee the development, testing, and deployment of scalable web applications and services. ● Collaborate with cross-functional teams, including product, QA, and design to define software requirements and architecture. ● Maintain a hands-on approach to coding and code reviews, ensuring best practices in development are followed. ● Provide technical leadership and guidance to the team on architecture, design patterns, and development practices. ● Implement and enforce Agile/Scrum methodologies and manage sprint planning and retrospectives. ● Monitor team performance, provide feedback, and support professional growth and career development. ● Drive innovation and continuous improvement in development processes and technologies. ● Ensure code quality, performance, security, and scalability in all technical deliverables. ** Required Skills and Experience** ● Bachelor’s degree in Computer Science, Software Engineering, or a related discipline (or equivalent practical experience). ● 3–5 years of experience in full stack development using modern technologies such as: ○ Front-End: JavaScript, TypeScript, React, Angular, or Vue.js ○ Back-End: Node.js, .NET, Java, Python, or similar ○ Databases: PostgreSQL, MySQL, MongoDB, etc. ● Demonstrated experience in leading software development teams or managing projects. ● Strong understanding of cloud platforms (AWS, Azure, GCP) and CI/CD pipelines. ● Experience with Git, agile project management tools (e.g., Jira), and containerisation (e.g., Docker, Kubernetes). ● Excellent communication and interpersonal skills with a strong ability to manage stakeholders ● Proven ability to balance technical leadership with hands-on development.