Windows 11 Deployment Engineer (User Clinic) – Derby Role: Windows 11 Deployment Engineer Location: Derby Duration: 17 Nov – 24 Dec (5.5 weeks) Clearance: BPSS  Hours: Monday–Friday, standard 8-hour day Summary: We are hiring Deployment Engineers to support a large Windows 11 rollout across two Derby campus clinics. This is a user-facing role focused on device swaps — working from a simple work script, you’ll complete approximately 14 device exchanges per day in 1-to-1 30-minute slots. Key Responsibilities: <ul><li>Meet users in pre-booked 30-minute sessions</li><li>Swap devices, complete scripted checks, confirm successful handover</li><li>Ensure new device boots, connects, and functions correctly</li><li>Collect and record return of old devices</li><li>Escalate any issues to on-site technical support</li></ul>Ideal Experience: <ul><li>Previous desktop support, floorwalking, or device-deployment experience</li><li>Strong interpersonal skills and customer confidence</li><li>Comfortable working in structured, high-throughput environments</li></ul>

Win 11 Deployment Engineer

Credit Risk Analyst, Salary: Up to £60,000 + bonus Location: London (hybrid) Industry: Financial Services / Insurance Type: Permanent I'm looking for a Credit Risk Analyst with a strong background in SQL and data visualisation,  We’re working with a leading financial services organisation looking to strengthen their credit risk analytics team. This role is perfect for someone who enjoys combining technical analysis with regulatory insight to drive smarter decisions. What you’ll be doing<ul><li>Developing, analysing and maintaining credit risk models and portfolio reporting.</li><li>Using SQL to extract and manipulate large datasets from multiple sources.</li><li>Building dashboards and visualisations (e.g. Power BI, Tableau, or similar) to present insights to senior management.</li><li>Supporting the business with risk appetite monitoring, capital adequacy, and credit exposure analysis.</li><li>Ensuring compliance with regulatory frameworks such as IFRS9, PRA, Basel, or Solvency II.</li><li>Collaborating with stakeholders across risk, finance, and data teams to enhance risk insight and governance.</li></ul>What we’re looking for<ul><li>Proven experience in Credit Risk Analysis, ideally within a bank or insurance environment.</li><li>Strong working knowledge of SQL (other coding languages such as Python or SAS a plus).</li><li>Experience creating data visualisations to communicate complex findings clearly.</li><li>Solid understanding of risk regulations and reporting requirements.</li><li>Analytical mindset with excellent problem-solving and communication skills.</li></ul>Please send me your CV to paul.culmer@xcede.com

Credit Risk Analyst

MLOps Engineer - Forecasting / Cloud Remote - UK (O/IR35), NL, BE, GER 3 - 6 Months initial contact Join an innovative technology company modernising its data science and AI capabilities. You’ll take ownership of how machine learning models are built, deployed, and scaled across distributed cloud environments — helping the business embed modern AI best practices and robust MLOps pipelines. The Role You’ll design, implement, and productionise forecasting models and ML-based algorithms that improve decision-making across the energy domain. This includes defining and setting up the end-to-end ML infrastructure, mentoring engineers, and shaping how the organisation approaches MLOps and AI enablement. What You’ll Do •    Build and maintain ML pipelines and CI/CD processes for model training, validation, and deployment. •    Lead the implementation of forecasting models and supervised learning approaches within scalable cloud environments. •    Work with engineering and product teams to embed ML capabilities into production systems. •    Optimise performance using tools such as AWS, Databricks, and containerisation frameworks. •    Define best practices for MLOps, monitoring, and version control. •    Provide technical guidance and education to teams adopting AI tooling. What You’ll Bring •    5+ years in software/ML engineering, ideally with production deployment experience. •    Strong Python background, comfortable across data frameworks like Pandas, NumPy, SciPy, Dask, Polars, or PySpark. •    Proven experience setting up ML pipelines, integrating with AWS / Databricks, and applying CI/CD principles. •    Solid understanding of time-series forecasting and supervised ML models. •    Knowledge of cloud infrastructure, IaC (Terraform / CloudFormation), and containerisation. •    Excellent collaboration and communication skills — confident discussing architecture with data scientists, engineers, and business leads. •    Experience in energy markets is a significant advantage (especially UK or European retail)

MLOps Engineer - Forecasting / Cloud

Senior Algorithm Engineer - Python / Distributed Systems / Energy Tech Remote - UK (O/IR35), NL, BE, GER 3 - 6 Months initial contact Join a pioneering technology scale-up driving the digital transformation of the energy industry. You’ll help design and evolve distributed software systems that process millions of data points across the UK energy market — turning complex datasets into intelligent, scalable software solutions. The Role You’ll be a key member of the Algorithms team, collaborating closely with clients, product managers, and domain experts to design and implement software solutions that underpin large-scale pricing, forecasting, and billing systems. This is a hands-on role blending software engineering with system architecture — ideal for someone who enjoys building robust, high-performance code and guiding technical direction. What You’ll Do <ul><li>Design, build and optimise Python-based algorithms and distributed components that power energy forecasting and pricing workflows.</li><li>Contribute to system architecture decisions — microservices, APIs, and distributed computing layers.</li><li>Collaborate directly with stakeholders to translate business and market logic into maintainable, scalable software.</li><li>Lead by example through clean, efficient coding, mentoring, and peer reviews.</li><li>Continuously evolve the distributed software stack, improving performance and reliability across platforms. </li></ul>What You’ll Bring <ul><li>Strong proficiency in Python, including modern data engineering libraries (Pandas, NumPy, Dask, Polars, PySpark).</li><li>Experience designing or maintaining distributed systems or microservice architectures.</li><li>Background as a software engineer or data engineer — experience in energy markets is a significant advantage (especially UK or European retail).</li><li>Strong communication and collaboration skills — you’ll work directly with internal teams and clients.</li><li>Knowledge of SaaS or product environments, and an appetite to work in a rapidly evolving energy tech space. </li></ul>

Algorithm Engineer

Previously working as an account manager in the public sector for the last 4 years, Luke joins our Contract team focusing on the Cloud and End-User Computing sector. 

Win 11 Deployment Engineer

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Luke Roberts

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