Python developer jobs in United Kingdom

We're hiring for a Senior Software Engineer within our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements on our models directly impact financial performance. You'll be working closely with researchers, helping maintain trading infrastructure, and helping the team scale and improve the systems at the heart of the business. You'll be working on data pipelines, build, support systems and infrastructure. A very wide ranging role requiring extensive experience across multiple technologies. The ideal candidate will be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies; you'll have a high level of autonomy to design and implement tooling and systems in a way you feel would be best suited to the problem at hand. A strong knowledge of operating systems, networks, software architecture and practical experience in deploying that knowledge is essential. Knowledge of sports betting or horse racing, which this team focuses on, isn’t required. We are a hybrid working company, with staff coming into the office in London every Thursday, plus any other days they like, working remotely at home the rest of the time. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals. We're targeting Senior Developers for this role, ideally with several years of experience in mission-critical systems where precision, reliability, and fault tolerance are paramount. Our interview process is as follows: A brief screening call to give you some more information about the role, answer any of your initial questions and to check your suitability for the role. A 60 minute technical interview with our CTO and/or Team Lead, discussing your previous experience and also discussing some systems design challenges and how you'd approach them A collaborative coding assessment day, working with one of our team on some sample problems. This isn't leetcode, it's more about systems design and your approach to tradeoffs. This will last from 10am until 4pm UK time. An in person "meet the team" at our London office. Requirements At least one, ideally both of: A degree in a technical subject from a top university demonstrating your ability to grasp and apply complex concepts. Several years of senior-level experience in teams building mission-critical systems where precision and reliability are essential to success. Demonstrated professional expertise in the following areas: Fluency in multiple programming languages, with substantial experience in Python as a priority. Development and maintenance of Continuous Integration (CI) pipelines. Complex deployments on AWS Docker or comparable containerization technologies. Nice to have experience: Experience using numpy/pandas/torch/etc Experience with Golang Benefits Our salary range for the role is £40,000 to £80,000, depending on experience and interview performance. List of benefits: Participation in the uncapped company bonus scheme, typically 10-20% of salary depending on experience. 10% matched pension contributions Private healthcare insurance Long term illness insurance Gym membership Choose your own hardware & setup for your development environment.

Trainee Data Scientist - No Experience Required 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.

About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.

The Role In this role, you will lead the design, development, and execution of our most complex and high-impact AI and data-driven security initiatives across the organisation. You will define the strategic direction for AI and data security architecture, owning the roadmap that ensures our systems and models are secure, resilient, and compliant by design. As a key technical leader, you will drive the adoption of modern security practices throughout the AI/ML development lifecycle—embedding security into data pipelines, model training workflows, infrastructure, APIs, CI/CD pipelines, and cloud-native platforms. You will work closely with engineering, MLOps, and product teams to ensure that models and data systems are built securely and scale effectively in a rapidly evolving threat landscape. You will also oversee the design and integration of enterprise-grade security and privacy controls across AI platforms, cloud environments, and data architecture—ensuring alignment with compliance frameworks (e.g., GDPR, ISO 27001, NIST AI RMF) and ethical AI principles. Collaborating cross-functionally with Engineering, DevOps, Data, Compliance, and Architecture teams, you’ll champion automation, threat modelling, privacy-by-design, and security-by-default across our AI and data ecosystem. This is a pivotal role that blends deep technical expertise with strategic foresight, empowering teams, strengthening our security posture, and shaping the future of trustworthy, secure AI innovation at scale. About Us At ZOG Global, we don’t just provide IT solutions, we build secure, intelligent, and scalable digital ecosystems. As a leading IT consultancy services in the UK, specialising in cybersecurity, automation, and software development, we help businesses stay competitive and secure. Our expertise spans advanced cybersecurity solutions, advanced AI-driven automation, and next-gen software development, ensuring our clients have the tools to innovate fearlessly while staying secure. At ZOG Global, we foster a culture of innovation, collaboration, and continuous learning, where every team member plays a crucial role in shaping the future of secure technology. Join us to work on challenging, high-impact projects, collaborate with some of the brightest minds in the industry, and drive security innovation at scale! Key Responsibilities • Secure AI/ML workloads running on cloud-native platforms such as SageMaker, Azure ML, Vertex AI, and custom Kubernetes-based training clusters. • Design isolation strategies and access controls for GPU-enabled instances, model endpoints, and distributed training environments. • Assess cloud-hosted AI services and APIs for misconfigurations, data leakage, and privilege escalation risks. • Ensure adherence to AI-specific regulatory frameworks (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) and responsible AI principles. • Contribute to the development of internal AI governance policies covering model transparency, fairness, and accountability. • Collaborate with legal, compliance, and data teams to assess ethical risks and implement guardrails for generative AI usage. • Design secure data pipelines and storage architectures that support privacy-preserving AI workflows and model training at scale. • Implement differential privacy, encryption-at-rest/in-transit, and federated learning where applicable to protect sensitive training data. • Evaluate and secure third-party datasets, embeddings, and model artefacts integrated into enterprise AI solutions. • Collaborate with data architect and analysts to assess model explainability, adversarial robustness, and model inversion risks. • Architect end-to-end AI/ML platforms with security-by-design principles, from data ingestion to inference. • Define secure model-serving architectures, including API protection, input validation, and rate-limiting mechanisms. • Support the design of scalable LLM and vector database infrastructure with appropriate access controls and logging. • Promote security standards for AI model reuse, supply chain integrity (e.g., ML model provenance), and open-source model vetting. • Embed security into CI/CD pipelines using automated security tools. • Develop and deploy security-as-code solutions for cloud and container environments. • Automate security compliance checks, vulnerability scanning, and incident response workflows. • Secure cloud-native applications, Kubernetes clusters, and serverless environments. • Perform security assessments, threat modeling, and risk mitigation strategies. • Ensure adherence to industry security frameworks (e.g., NIST, ISO 27001, CIS, SOC 2). • Define security policies, best practices, and threat mitigation strategies. • Drive security awareness and DevSecOps culture across teams. What We’re Looking For • 6+ years of experience in cybersecurity, including 3+ years in DevSecOps, Application Security, Cloud Security, or Security Architecture roles, ideally with exposure to data-driven or AI/ML environments in enterprise or consultancy settings. • Professional certifications that demonstrate depth and breadth in cloud and security domains (e.g., CISSP, CCSP, SC-100, OSCP, AWS Security Specialty, or DevSecOps certifications). • Strong understanding of AI/ML security principles, including model integrity, data lineage, adversarial threat mitigation, input validation, and governance of generative AI systems in line with emerging AI regulations and privacy standards. • Demonstrated ability to embed security into CI/CD and MLOps pipelines, driving DevSecOps automation using Infrastructure as Code (IaC) and security-as-code practices. • Hands-on experience with security testing frameworks, including SAST, DAST, SCA, fuzz testing, and API security validation, using industry-standard tools and custom automation workflows. • Strong command of cloud platforms (AWS, Azure, GCP), including AI/ML services, Kubernetes, serverless architectures, and container security tooling. • Skilled in automating security controls and infrastructure compliance using tools (Terraform, Ansible, Jenkins, GitHub Actions, or similar). • Deep understanding of SIEM, SOAR, IAM, and cloud-native monitoring for real-time detection, incident response, and compliance reporting. • Proficient in scripting and automation using Python, Bash, Go, or similar languages to build scalable, repeatable security workflows. • Familiarity with key security and compliance frameworks, including MITRE ATT&CK, NIST CSF, OWASP SAMM, CVSS, STRIDE, PCI-DSS, GDPR, and emerging AI-specific standards (e.g., NIST AI RMF, ISO/IEC 42001). • Experience in data and AI security architecture, including data classification, secure data lakes, model provenance, encryption, key management, and regulatory compliance across hybrid cloud ecosystems. • Ability to design secure, scalable microservices and model-serving architectures, advocate for Zero Trust principles, and drive secure API and identity integration across enterprise environments. • Strong collaborator with experience leading cross-functional security initiatives, participating in vendor/tool evaluations, and aligning architecture with governance requirements. • Effective communicator who can translate complex security and AI risk topics into actionable guidance, foster DevSecOps and MLOps culture, and advocate for security best practices across technical and business teams. • Deep understanding of data security, governance, and compliance in cloud environments. • Experience in compliance processes, interfacing with external consultants, and handling customer security requirements. • Ability to solve highly complex security challenges intuitively and effectively. If you live and breathe AI and application security, can navigate complex systems, crave learning new things, and would like your work to have positive impact on all our initiatives, then this role is for you.

Data Analyst Telcoset UK – Remote Job Overview We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. The ideal candidate will possess strong data analysis skills and a keen ability to interpret complex datasets. You will play a crucial role in supporting decision-making processes by providing actionable insights derived from data. Your expertise in tools such as R and Python, along with your understanding of database design and the Software Development Life Cycle (SDLC), will be essential in driving our data initiatives forward. Responsibilities Conduct thorough data analysis to identify trends, patterns, and anomalies within datasets. Collaborate with cross-functional teams to gather requirements and understand data needs. Design and implement effective database structures to support data storage and retrieval. Utilise programming languages such as R and Python for data manipulation and analysis. Create visual representations of data findings using tools like Visio to communicate insights effectively. Participate in the SDLC process by providing input on data-related projects and enhancements. Vaticinate future trends based on historical data analysis, aiding strategic planning efforts. Ensure the integrity and accuracy of data through regular audits and quality checks. Smash through barriers to uncover valuable insights that can influence business strategies. Requirements Proven experience as a Data Analyst or in a similar analytical role. Strong proficiency in data analysis skills, with hands-on experience in R and Python. Familiarity with database design principles and practices. Understanding of the Software Development Life Cycle (SDLC) is advantageous. Excellent problem-solving skills with the ability to vaticinate potential outcomes based on data trends. Proficient in using Visio for creating diagrams and flowcharts that represent data processes. Strong attention to detail with an analytical mindset, capable of smashing through complex datasets to derive meaningful insights. Effective communication skills, both verbal and written, to present findings clearly to stakeholders. Join us as we leverage data to drive impactful decisions within our organisation! Job Type: Full-time Pay: £31,000.00-£39,000.00 per year Benefits: Company pension Work from home Schedule: Monday to Friday Work Location: Remote

We're seeking an experienced Bank Technician to join our team. As a payments and core banking expert, you'll be responsible for ensuring seamless transaction processing, integrating with various banking systems, and providing technical support for our banking operations. Key Responsibilities: 1. Transaction Processing: Manage and monitor transaction processing for various payment types, including SEPA, SWIFT, and domestic payments. 2. Core Banking System Integration: Integrate and maintain connections with core banking systems, such as Finacle. 3. API Integration: Develop and maintain API integrations with various banking systems, including N26, Starling Bank, and Solaris Bank. 4. Technical Support: Provide technical support for banking operations, including troubleshooting and resolving technical issues. 5. Compliance and Risk Management: Ensure compliance with regulatory requirements and manage risk associated with transaction processing and core banking system integration. Requirements: 1. Education: Bachelor's degree in Computer Science, Information Technology, or related field. 2. Experience: Minimum 5 years of experience in banking technology, payments, and core banking systems. 3. Knowledge: In-depth knowledge of: - Payment systems (SEPA, SWIFT, etc.) - Core banking systems (Finacle, etc.) - API integration and development - Banking regulations and compliance - Risk management and security measures 4. *Skills* : Proficient in: - Programming languages (Java, Python, etc.) - API development and integration - Database management (Oracle, MySQL, etc.) - Operating systems (Windows, Linux, etc.) 5. *Certifications* : Relevant certifications, such as ITIL, Agile, or banking-specific certifications. Nice to Have: 1. Experience and familiarity with banking systems and their APIs. 2. Knowledge of cloud-based banking platforms: Experience with cloud-based banking platforms, such as Amazon Web Services (AWS) or Microsoft Azure. 3. Certifications in banking and finance: Additional certifications, such as CFA, FRM, or banking-specific certifications. What We Offer: 1. Competitive salary*: A highly competitive salary based on experience and qualifications. How to Apply: If you're a motivated and experienced banking technology professional looking for a new challenge, please submit your resume and cover letter to me .