python engineer

Information Tech Consultants

<div>
 
 
 Job Title:
 
 Data Scientist/Machine Learning Engineer
 
 
 
 Location:
 
 UK
 
 
 
 Experience:
 
 2&ndash;5 years
 
 
 
 Education:
 
 Master's in Science (IT/Computer Science/Engineer)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 UK based candidates only.
 
 
 
 Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies.
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 2-4 years of experience in Data science/Machine learning models from coding to deployment.
 </li>
 <li>
 Work with datasets using Python or R, SQL, No SQL.
 </li>
 <li>
 Assist in developing predictive and statistical models
 </li>
 <li>
 Write and optimize queries using SQL.
 </li>
 <li>
 Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability.
 </li>
 <li>
 Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.
 </li>
 </ul>
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Hands on experience in coding (mandatory python and SQL or C++).
 </li>
 <li>
 Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
 </li>
 <li>
 Familiarity working with large data sets.
 </li>
 <li>
 Project Management background preferred.
 </li>
 </ul>
 
 
 
 
 
 Qualifications :
 
 
 <ul>
 <li>
 
 Master&rsquo;s (Required)
 
 in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology.
 </li>
 <li>
 You should be entitled to work in the UK with legal work authorization status.
 </li>
 <li>
 Must be willing to travel within the UK as per project/client requirements.
 </li>
 <li>
 Excellent communication skills and teamwork skills.
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

<div>At CGI, you'll help deliver secure, high-impact solutions that enable government agencies to tackle some of their most complex and mission-critical challenges. As a Python Software Engineer, you'll work with modern technologies to build secure, scalable and reliable systems that drive real-world outcomes. You'll collaborate with talented colleagues, contribute innovative ideas, and take ownership of technical solutions in an environment that values continuous learning, creativity and professional growth. If you're passionate about solving complex engineering problems and want to make a meaningful impact while developing your career, CGI offers the opportunity to do just that. 
 
CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK &lsquo;Best Employer&rsquo; by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you&rsquo;ll be part of an open, friendly community of experts. We&rsquo;ll train and support you in taking your career wherever you want it to go. 
 
Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is role is required on a secure site.
Your future duties and responsibilities
In this role, you will develop secure, scalable Python applications that support mission-critical programmes within CGI's Space, Defence and Intelligence business. Working as part of a collaborative, cross-functional engineering team, you will design, build, test and enhance software solutions using modern development practices, while contributing ideas that help solve complex technical challenges. You'll take ownership of your work, share your expertise by mentoring colleagues, and play a key role in delivering high-quality solutions that make a tangible impact for our clients. 
 
You'll also contribute to the continuous improvement of engineering standards, helping to evolve development processes, adopt new technologies and maintain a strong focus on quality, security and innovation throughout the software lifecycle. 
 
Key responsibilities: 
 
~Develop &amp; Deliver secure, scalable Python software using modern engineering practices. 
~Design &amp; Document technical solutions and software components. 
~Build &amp; Maintain data processing pipelines for complex applications. 
~Test &amp; Assure quality through unit, integration and end-to-end testing. 
~Collaborate &amp; Mentor within cross-functional Agile delivery teams. 
~Optimise &amp; Improve development processes using DevOps and CI/CD practices. 
~Innovate &amp; Solve complex technical challenges with creative engineering approaches. 
~Support &amp; Enhance cloud-based and virtualised environments where appropriate.
Required qualifications to be successful in this role
You'll be an experienced Python Software Engineer with a passion for developing high-quality software and solving challenging technical problems. You will be comfortable working within collaborative delivery teams, have strong communication skills, and enjoy continuously learning new technologies. Experience across modern software engineering, testing and cloud-based environments will enable you to succeed in this role. 
 
Essential qualifications: 
 
~You should have at least five years' experience developing software using Python, including object-oriented and functional programming. 
~Strong experience working within cross-functional software development teams. 
~Proven ability to mentor and support junior engineers. 
~Experience with unit, integration and end-to-end testing, with a quality-first mindset. 
~Experience producing technical designs and documentation. 
~Experience developing or maintaining data processing pipelines. 
~Working knowledge of DevOps practices and cloud or virtualisation platforms. 
~Strong interpersonal and stakeholder communication skills. 
~Demonstrable enthusiasm for learning new technologies and driving innovation. 
 
Desirable: 
 
~Experience with AWS. 
~Experience using Elasticsearch and Kibana. 
~Containerisation experience with Docker, Kubernetes and/or OpenShift. 
~Knowledge of security technologies and protocols, including PKI and TLS. 
 
#LI-JS2
Together, as owners, let&rsquo;s turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip; 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction. 
 
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. 
 
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</div>

Python Developers

Mustard Systems Ltd.

<div>
 At Mustard Systems, we leverage statistical modeling to dive into sports events and help us make informed predictions about future outcomes. By utilising our unique datasets, advanced statistical models, and custom-built software, we strive to accurately forecast sports results.
 
 
 We value quick delivery and real-world impact over perfect code. If you're an engineer who thrives on solving problems quickly and enjoys a flexible, outcome-focused culture, you'll fit right in.
 
 
 
 What You'll Work On:
 
 
 
 <ul>
 <li>
 Expand our access to new liquidity providers, through advanced web scraping and reverse engineering techniques
 </li>
 <li>
 Develop and maintain low-latency real-time data feeds, based on the data extracted, to support trading strategies
 </li>
 <li>
 Enhance system visibility for our teams to provide insight into integration issues and improvements
 
 
 </li>
 </ul>
 We work with an agile approach, following a flexible plan that adapts to new information and opportunities as they arise. Developers are a core part of this process, taking full ownership of their software throughout its lifecycle&mdash;from design and development to testing, review, and production support.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and Build Impactful Features: Develop new features that align with and drive our business goals, delivering high-quality code that brings measurable value
 </li>
 <li>
 Collaborate on Code Quality: Review and test code from teammates to ensure functionality, maintainability, performance, and quality standards
 </li>
 <li>
 Support in Production: Take ownership of your team's software in production, ensuring stability and quickly addressing any issues that arise
 </li>
 <li>
 Cross-Team Collaboration: Work closely with other development teams on cross-functional projects, and partner with traders and quants to design and implement the best solutions to real business problems
 </li>
 <li>
 Participate in Out of Hours Support for our Software Systems
 
 
 
 </li>
 </ul>
 
 Core Tech Stack:
 
 
 
 <ul>
 <li>
 Languages: Python (Python 3.10+), JavaScript/TypeScript for frontend work, and Go for select infrastructure
 </li>
 <li>
 Tools: RabbitMQ and Kafka for messaging, PostgreSQL and Redis for data storage
 </li>
 <li>
 Environment: Linux servers
 </li>
 <li>
 Observability: OpenTelemetry, Prometheus, Grafana and Zabbix
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Must-Haves:
 
 
 
 <ul>
 <li>
 Strong background in software development, with strong experience with Python
 </li>
 <li>
 A degree in Computer Science or a numerical subject from a top university
 </li>
 <li>
 Exceptional communication skills, enabling you to convey complex technical ideas clearly to both technical and non-technical audiences
 </li>
 <li>
 Strong decision-making abilities, with a knack for making thoughtful trade-offs in both implementation and architectural choices, balancing innovation and practicality
 </li>
 <li>
 Experience with web scraping and reverse engineering techniques, including working against bot protection tooling
 </li>
 <li>
 At least 3 years experience in software development
 
 
 
 </li>
 </ul>
 
 Nice-to-Haves:
 
 
 
 <ul>
 <li>
 Familiarity with building event-driven systems
 </li>
 <li>
 Comfort with Linux/Unix environments
 </li>
 <li>
 Track record of driving successful cloud migrations, ideally to AWS, including setting up secure, scalable account and access structures
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why join Mustard Systems?
 
 
 
 <ul>
 <li>
 Hybrid working environment. We're in the office every Monday, Tuesday and Thursday, and work from home every Wednesday and Friday
 </li>
 <li>
 Work on cutting-edge systems in a competitive and innovative field
 </li>
 <li>
 Collaborate with a smart, driven team, where your contributions directly impact business performance
 </li>
 <li>
 Opportunity to drive the company's technical direction and double its revenue in the next three years
 
 
 
 </li>
 </ul>
 
 Comprehensive benefits, including:
 
 
 
 <ul>
 <li>
 Competitive salary and significant bonus potential
 </li>
 <li>
 Enhanced pension match with salary sacrifice option
 </li>
 <li>
 Health insurance and life assurance
 </li>
 <li>
 Sabbatical leave after five years
 </li>
 <li>
 33 days of annual leave (including bank holidays)
 </li>
 </ul>
</div>

Python Backend Developer

Jack & Jill

<div>
 
 This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
 
 
 
 She will pick the best candidates from Jack's network.
 
 
 The next step is to speak to Jack.
 
 
 
 Job Title
 
 
 
 AI Engineer
 
 
 
 Salary
 
 
 
 Not Disclosed
 
 
 
 Company Description
 
 
 
 StackOne is a $24M VC-funded AI Integration Gateway backed by GV and Workday Ventures. They provide builders of SaaS platforms and AI Agents with a unified toolkit to orchestrate hundreds of enterprise-grade integrations, combining a real-time architecture with 25,000 pre-mapped actions across 200 connectors.
 
 
 
 Job Description
 
 
 
 As an AI Engineer at StackOne, you will build the future of agentic integrations by delivering end-to-end AI products. Reporting to the CTO, you'll work with AI researchers to develop specialized LLMs for tool-calling, ensuring precision and reliability in agentic execution while maintaining high-performance inference pipelines and retrieval systems.
 
 
 
 Location
 
 
 
 London, UK
 
 
 
 Why this role is remarkable
 
 
 
 <ul>
 <li>
 Work at the frontier of AI R&amp;D, building specialized LLMs designed for tool-calling and agentic execution rather than just general-purpose applications.
 </li>
 <li>
 Join a high-growth startup backed by elite investors like GV and Workday Ventures, scaling a platform that already powers thousands of integrations.
 </li>
 <li>
 Collaborate with a world-class veteran engineering team from industry leaders like Google, Microsoft, and Coinbase in a culture built on shipping and ownership.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design and deploy full-stack features including inference pipelines, embeddings, and retrieval systems across AWS and Cloudflare.
 </li>
 <li>
 Implement cutting-edge tool-calling and Model Context Protocol (MCP) patterns to enable one-click agent integrations with any tool.
 </li>
 <li>
 Develop and maintain high-quality open-source and internal TypeScript and Python packages to accelerate the developer ecosystem.
 
 
 </li>
 </ul>
 
 The ideal candidate
 
 
 
 <ul>
 <li>
 Professional experience shipping production-grade applications using Generative AI and LLMs like GPT or Anthropic.
 </li>
 <li>
 Expert proficiency in TypeScript and Python with a proven track record of building scalable systems on AWS, GCP, or Cloudflare.
 </li>
 <li>
 Strong background in full-stack engineering with experience publishing SDKs, CLIs, or complex packages in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Who are Jack &amp; Jill?
 
 
 
 Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
 
 
 And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
 
 
 
 How does this work?
 
 
 
 <ul>
 <li>
 Jack's an AI agent for job searching and career coaching. He works for you.
 </li>
 <li>
 Jill is the AI recruiter working for the company. She recruits from Jack's network.
 </li>
 <li>
 If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
 
 
 </li>
 </ul>
 
 We never post fake jobs
 
 
 
 This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
 
 
 Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
 
 
 We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
 
 
 Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
 
 
</div>

AI Engineer at StackOne

Intact Insurance UK

<div>
 
 APPLY NOW!
 
 
 
 Intact Insurance is the new name for RSA in the UK, Ireland, and across Europe. It&rsquo;s a new name and a new way to do business. Backed by global expertise and a commitment to service that feels different, we&rsquo;re focused on making insurance simpler, faster, and more responsive.
 
 
 
 Shape The Future
 
 
 
 We&rsquo;re leading a transformation in insurance helping people, businesses and society prosper in good times and be resilient in bad times. When you join us, you&rsquo;re not just taking a job, you&rsquo;re stepping into a career where you can make a real difference.
 
 
 
 Grow With Us
 
 
 
 We&rsquo;re customer-driven, community-focused, and committed to helping our people grow. Whether you&rsquo;re early in your journey or bringing years of experience, we&rsquo;ll support you with the tools, flexibility, and opportunities to thrive.
 
 
 
 Win As a Team
 
 
 
 We&rsquo;re looking for a Machine Learning Engineer to help build and run production-ready ML systems that make a real impact across the business. You&rsquo;ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable solutions, and driving innovation while growing your career.
 
 
 
 You&rsquo;ll Make An Impact By
 
 
 
 <ul>
 <li>
 Build and automate ML pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow.
 </li>
 <li>
 Productionise Data Science models, converting notebooks into modular, tested, production-ready code.
 </li>
 <li>
 Deploy models into batch and real-time environments, managing versioning, promotion, rollback, and scheduled workflows via MLflow and APIs.
 </li>
 <li>
 Implement monitoring and observability, including data and model drift detection, performance alerts, logging, and automated retraining.
 </li>
 <li>
 Collaborate with Data Engineering and Platform teams on CI/CD integration, pipeline performance, compute optimisation, and secure deployment patterns.
 </li>
 <li>
 Maintain engineering standards, ensuring high-quality testing, documentation, code quality, reproducibility, and operational reliability.
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 Experience with ML platforms including Databricks, MLflow, Delta Lake, and cloud environments.
 </li>
 <li>
 Proficient in Python, PySpark, and SQL, following production coding best practices.
 </li>
 <li>
 Understanding of data, distributed ML pipelines, and model deployment patterns, including monitoring, drift detection, and lifecycle operations.
 </li>
 <li>
 Exposure to CI/CD, containerisation, and API integration, with the ability to build scalable, production-ready ML systems.
 </li>
 <li>
 Comfortable working technically while communicating effectively with Data Scientists, stakeholders, and cross-functional teams.
 
 
 </li>
 </ul>
 
 Why You&rsquo;ll Love It Here
 
 
 
 Being part of our team means you&rsquo;ll have the support and freedom to bring your best self to work each day. As a permanent member, here&rsquo;s what you can look forward to
 
 
 <ul>
 <li>
 Annual discretionary bonus
 </li>
 <li>
 Up to 11% pension contributions
 </li>
 <li>
 Hybrid working + flexible hours
 </li>
 <li>
 25 days annual leave + bank holidays + buy/sell options
 </li>
 <li>
 Health &amp; wellbeing + virtual GP
 </li>
 <li>
 Career development and mentoring
 </li>
 <li>
 Inclusive culture + employee networks
 </li>
 <li>
 Share investment options
 
 
 </li>
 </ul>
 
 Our DEI Commitment
 
 
 
 We celebrate individuality and believe our differences make us stronger. We&rsquo;re proud to foster a culture where everyone feels respected, valued, and empowered to thrive.
 
 
 As an Equal Opportunity and Disability Confident Employer, we ensure fair consideration for all applicants and offer interviews to all disabled candidates who meet the essential criteria.
 
 
 We understand that everyone&rsquo;s circumstances are different and are happy to explore flexible working options such as reduced hours or job shares to support work&ndash;life balance.
 
 
 If you meet the core criteria but not every requirement, we&rsquo;d still love to hear from you. Let&rsquo;s explore how this role could support your next career step. If you need adjustments during the recruitment process, just let us know we&rsquo;re here to support you.
 
 
</div>

IMC Trading

<div>
 As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
 
 
 This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC&rsquo;s technology and trading capabilities.
 
 
 
 Your Core Responsibilities
 
 
 
 <ul>
 <li>
 The opportunity to be in a brand new position in a growing team
 </li>
 <li>
 Develop large-scale distributed training pipelines to manage datasets and complex models
 </li>
 <li>
 Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
 </li>
 <li>
 Develop libraries to improve the performance of machine learning frameworks
 </li>
 <li>
 Maximize performance in training and inference using GPU hardware and acceleration libraries
 </li>
 <li>
 Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
 </li>
 <li>
 Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
 </li>
 <li>
 Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
 </li>
 <li>
 Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
 </li>
 <li>
 Dig into the internals of open-source ML tools to extend their capabilities and improve performance
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in machine learning with a focus on training or inference systems
 </li>
 <li>
 Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
 </li>
 <li>
 Strong engineering skills, including Python, CUDA, or C++
 </li>
 <li>
 Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
 </li>
 <li>
 Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
 </li>
 <li>
 Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
 </li>
 <li>
 Exposure to cloud platforms and orchestration tools
 </li>
 <li>
 A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>

Xelix

<div>
 
 About Us
 
 
 
 At Xelix, we work with some of the world&rsquo;s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate &ndash; moving from manual processes to automated, intelligent workflows.
 
 
 Xelix is a fast-paced scale-up &ndash; things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team
 
 150
 
 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.
 
 
 In this role you&rsquo;ll grow, be challenged and help shape the future of Xelix. If you&rsquo;re excited about building something special with us, we&rsquo;d love to hear from you.
 
 
 
 About The Role
 
 
 
 We are hiring an AI Engineer to join our growing AI Engineering team. You&rsquo;ll design and build production AI systems &mdash; combining machine learning, large language models, and strong engineering &mdash; to solve real problems across documents, email, and financial data.
 
 
 We focus on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, enabling engineers to operate at a higher level &mdash; focusing on system design, product thinking, and solving complex problems.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 AI Systems &amp; Agents: design and build production AI systems &mdash; including agent-based workflows, tool use, and multi-step reasoning.
 </li>
 <li>
 Model Development &amp; Adaptation: develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches.
 </li>
 <li>
 LLM Platform Work: work with hosted and self-hosted models, contributing to decisions around model selection, performance, and cost.
 </li>
 <li>
 Production Engineering: write clean, maintainable Python and contribute to scalable, observable systems.
 </li>
 <li>
 Evaluation &amp; Iteration: design evals, measure performance rigorously, and improve systems using real-world feedback.
 </li>
 <li>
 AI-Assisted Development: use modern AI coding tools to move faster while maintaining high standards.
 </li>
 <li>
 Collaboration: work closely with product and engineering teams to deliver high-impact features.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Experience: 2&ndash;5 years building and shipping ML or AI-powered systems into production.
 </li>
 <li>
 Strong Engineering Skills: clean, testable Python; solid software design; experience working in production environments.
 </li>
 <li>
 AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents).
 </li>
 <li>
 Systems Thinking: ability to reason about trade-offs (accuracy, latency, cost, reliability) and design accordingly.
 </li>
 <li>
 Data Skills: SQL, pandas, and experience working with messy real-world data.
 </li>
 <li>
 AI-Native Workflow: comfortable using AI-assisted coding tools effectively.
 </li>
 <li>
 Curiosity &amp; Ownership: proactive in exploring new approaches and improving existing systems.
 </li>
 <li>
 Collaboration: strong cross-functional working style.
 
 
 </li>
 </ul>
 
 What We Offer In Return
 
 
 
 💰 Competitive salary of &pound;65,000 to &pound;75,000 depending on experience
 
 
 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days
 
 
 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office
 
 
 💪 On-site gym and cycle to work scheme
 
 
 🛍️ Employee discount at over 100 retailers
 
 
 🏥 Comprehensive private medical &amp; dental cover with Vitality
 
 
 🍼 Enhanced parental leave pay
 
 
 📚 Learning &amp; development culture &ndash; &pound;1,000 personal annual budget
 
 
 🌍 We&rsquo;re carbon-neutral and are working towards ambitious carbon reduction goals
 
 
 🎯 Lots of team socials &amp; activities
 
 
 ☀️ Annual team retreat
 
 
 
 Want to learn more?
 
 
 
 <ul>
 <li>
 About us
 </li>
 <li>
 Xelix blog
 </li>
 <li>
 Xelix news
 </li>
 <li>
 Xelix glassdoor
 
 
 </li>
 </ul>
 We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
 
 
 If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
 
 
 This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
 
 
 
 Interview Process
 
 
 
 While the exact process may vary slightly depending on the role, our typical interview stages are:
 
 
 <ul>
 <li>
 Introductory Call &ndash; A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
 </li>
 <li>
 Hiring Manager Interview &ndash; A 30&ndash;45 minute Teams meeting to explore your experience and fit for the team.
 </li>
 <li>
 Technical Task or Presentation &ndash; A role-relevant exercise to demonstrate your skills and approach.
 </li>
 <li>
 Final On-site Interview &ndash; An in-person meeting with our senior leadership team and co-founders at our office.
 
 
 </li>
 </ul>
 We strive to make the process clear, efficient, and respectful of your time.
</div>

AI Engineer

Explore 296+ Python engineer in London this July. Find roles across top companies and apply now to boost your career.

296 python engineer jobs In London

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