We're partnering with a leading IT services provider to find a skilled OpenShift Specialist for an exciting role supporting a prominent financial institution. This position offers the chance to work on cutting-edge projects while combining your technical expertise with consultative skills to deliver impactful solutions.<h3>Key Responsibilities:</h3><ul><li>Design, implement, and manage OpenShift platforms to ensure scalability and efficiency.</li><li>Apply DevOps methodologies and automation to streamline development and deployment pipelines.</li><li>Develop and maintain Infrastructure as Code (IaC) frameworks for consistency and reliability.</li><li>Collaborate with stakeholders to identify challenges, propose tailored solutions, and provide technical consultation.</li><li>Support the full software lifecycle, from planning to deployment and optimization.</li></ul><h3>What We're Looking For:</h3><ul><li>Proven expertise in OpenShift and related technologies.</li><li>Strong knowledge of DevOps practices and tools.</li><li>Hands-on experience with IaC tools like Terraform or Ansible.</li><li>Excellent communication skills to bridge technical and non-technical stakeholders.</li><li>A passion for innovation and problem-solving in a collaborative environment.</li></ul>

OpenShift Consultant

Senior Python Engineer - FinTechAbout Us: We're working with an ambitious FinTech reshaping financial services with smarter, faster, and transparent tools, who have just closed their over subscribed series B funding round. Based in London, they're leveraging FastAPI, AWS, and cutting-edge microservices to deliver scalable, high-performance solutions for their customers.The Role: They're seeking a skilled Python Software Engineer to build and scale backend systems in a fast-paced environment. You'll work with FastAPI, AWS, and microservices, delivering reliable, secure, and efficient solutions that power their innovative platform.What You'll Do:<ul><li>Develop APIs and backend systems with Python and FastAPI.</li><li>Build and deploy scalable solutions using AWS (Lambda, ECS, DynamoDB, etc.).</li><li>Enhance their microservices architecture for performance and modularity.</li><li>Collaborate across teams to integrate data and business logic.</li><li>Maintain top-notch code quality with testing and CI/CD.</li></ul> What We're Looking For:<ul><li>Strong Python skills and experience with FastAPI.</li><li>Hands-on expertise with AWS and containerization (Docker).</li><li>Knowledge of microservices and databases (SQL/NoSQL).</li><li>Passion for solving complex problems with clean, scalable code.</li><li>Collaborative team player with Agile experience.</li></ul>Bonus Points:<ul><li>Asynchronous Python experience.</li><li>Familiarity with Kubernetes.</li></ul> Why Join?<ul><li>Rewarding packages for top talent including share options</li><li>Hybrid model once a week with a central London HQ</li></ul>

Python Engineer @ AI Start-Up

Senior Data Scientist - Credit Risk &amp; Fraud DetectionAbout the Company Join an innovative payment technology company reshaping the way customers spend on a daily basis and manage their finances. This fast-growing fintech firm has gained millions of customers since its launch, earning recognition for its rapid expansion and groundbreaking solutions. With ambitious growth plans and exciting projects ahead, the company is looking for top talent to help achieve its mission.The Role We are looking for a talented and experienced Senior Data Scientist to focus on developing and optimizing models for credit risk and fraud detection. The successful candidate will work with diverse data sources and collaborate with multidisciplinary teams to ensure data-driven decision-making. This is a unique opportunity to make a significant impact in a fast-paced and innovative environment.Responsibilities<ul><li>Develop and maintain credit risk and fraud detection models to support business decisions.</li><li>Collaborate with risk management and fraud prevention teams to align models with strategic goals and regulatory requirements.</li><li>Analyze credit bureau and fraud-related data to uncover actionable insights.</li><li>Present complex findings to senior stakeholders in a clear and accessible manner.</li><li>Apply machine learning techniques to enhance decision-making in risk and fraud management.</li><li>Ensure coding best practices for model development and deployment.</li><li>Utilize Python and core machine learning libraries for model building, validation, and deployment.</li><li>Conduct A/B testing and analyze experiments to improve product features.</li><li>Enhance workflows and methodologies in credit risk and fraud detection processes.</li></ul>What We're Looking For<ul><li>3+ years of experience as a Data Scientist, with expertise in credit risk and fraud detection models.</li><li>Strong knowledge of credit bureau data and its applications.</li><li>Proficiency in Python, SQL, and data science/machine learning libraries (e.g., Numpy, Pandas, Scikit-Learn).</li><li>Proven ability to communicate complex ideas effectively to non-technical audiences and stakeholders.</li><li>Experience with version control systems (e.g., Git) and working in collaborative environments.</li><li>A results-oriented mindset, with a focus on iterating and improving models in production.</li><li>Awareness of AI safety considerations, including bias detection and privacy management.</li></ul>Bonus Skills<ul><li>Experience with Amazon SageMaker for model development.</li><li>Familiarity with CI/CD pipelines and software development best practices.</li><li>Knowledge of monitoring tools for machine learning models.</li><li>Understanding of cloud-based model training and deployment solutions.</li><li>Experience with DBT for data modeling and Looker for business intelligence reporting.</li><li>A keen interest in staying updated with the latest technologies and trends.</li></ul>Why Join? Be part of a company revolutionizing payment technology and shaping the future of how people pay and save. Work in a dynamic and collaborative environment with opportunities to grow and make a significant impact. With big growth plans ahead it's a great opening with huge potential to evolve in line with your career aspirations.

Senior Data Scientist

Lead Machine Learning EngineerUp to £110,000 + Car Allowance + 30% BonusLondon office x1 day per week OVERVIEWAn internationally established major retail brand are hiring for a Lead Machine Learning Engineer to join a strong ML function, managing a team of Data Scientists and engaging with senior business stakeholders. You will be spearheading an ML/ Data Science team, delivering production level machine learning projects at scale for the business, being responsible for driving forward some major ML/ AI initiatives within the wider Data team. Your responsibilities as a Lead Machine Learning Engineer will include but not be limited to:<ul><li>Manage a team of Data Scientists/ ML Engineers, direct line management responsibilities including training and personal development, performance and making hiring decisions.</li><li>Technically lead key Machine Learning/ AI initiatives within the Data Science function, still being hands on technically where necessary.</li><li>Engage with senior level business stakeholders, communicating technical concepts to non-technical audiences and demonstrating the value of AI/ ML with your projects.</li></ul> YOUR SKILLS &amp; EXPERIENCEA successful Lead ML Engineer will have the following:<ul><li>Proven experience managing a team of Data Scientists/ ML Engineers.</li><li>Several years experience as a Data Scientist/ ML Engineer, some of which is a Senior/ Lead capacity.</li><li>Experience delivering production level ML solutions at scale within a reputable company/ data science function.</li><li>Experience working in customer-centric environments such as retail, telecoms, B2C industries are preferred.</li></ul> HOW TO APPLYPlease register your interest by sending your CV to luke.frost@xcede.com or click the Apply Link!

Lead Machine Learning Engineer

​As a Consultant at Xcede, Jorden specialises in recruiting for roles across the Performance, Marketing & Analytics space. He also spends some of his time consulting for technology roles across the thriving German market. From front-end to back-end and full-stack roles, Jorden is a versatile, dynamic recruiter who has a proven track record of successfully finding top talent tailored to his client’s needs, as well as the best roles for his candidates. 

Jorden Chan

Backend Development Consultant

Tracking Specialist / MarTech Manager - Google Tag Manager, Python Location - Berlin (in office 2/3 times per week) Salary - up to around 80,000€ (negotiable) This is a great opportunity to join a leading digital marketing agency in the retail space, they are a digital hub of a wider group. With focus on growth, innovation and results, they deliver solutions and contribute to the success and growth of the company with innovative concepts in marketing and IT. The best part? They are looking for new staff to join their teams in the middle of their digital transformation! Could you be the right candidate? Read on to figure that out. The role:<ul><li>Implementation and maintenance of tracking and marketing tools via tag manager</li><li>Collaborate closely with the data and marketing teams to develop solutions an overcome challenges</li><li>Writing custom scripts as well as improve inhouse solutions and tagging infrastructure</li></ul> What do you need?<ul><li>Experience within a similar Tracking or MarTech position</li><li>Experienced with Google Tag Manager</li><li>Proficiency with technical skills in Python, Javascript, SQL etc.</li><li>Experience with data analytics (GA4) is an advantage</li><li>Excellent communication and interpersonal skills</li><li>Fluent in English and German language skills are highly advantageous (B2)</li></ul> If you are interested in this opportunity or want to have a confidential discussion, please apply now or contact Jorden Chan on Jorden.chan@xcede.de for other opportunities.

Tracking Specialist

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Jorden Chan

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