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

Technology Architect - Marketing Technology (MarTech) 6 -12 months + Remote We’re looking for a Technology Architect to design and orchestrate the front-office technology stack for a global multi-brand organisation. This encompasses Platforms / Digital / Marketing / CX. You’ll shape the systems that connect product data, content, digital assets, and customer insights — creating scalable, efficient, and intelligent experiences across every channel. What You’ll Do<ul><li>Design and deliver end-to-end MarTech architectures across multiple brands and regions.</li><li>Connect and optimise DAM, PIM, CMS, and Experience Platforms for large-scale content operations.</li><li>Define governance models, metadata frameworks, and multi-brand content workflows.</li><li>Lead integration design — API strategy, data synchronisation, and orchestration between systems.</li><li>Support platform selection, vendor evaluation, proofs of concept, and implementation roadmaps.</li><li>Partner with marketing, IT, and creative teams to align technology capabilities with brand goals.</li></ul>Tech Landscape You don’t need to know every tool, but deep experience across several of these areas is key:<ul><li>DAM: Sitecore Content Hub, AEM Assets, or similar</li><li>PIM: Stibo STEP, inRiver, Salsify</li><li>CMS / Experience Platforms: Sitecore XP/XM, Contentful, Adobe Experience Manager, headless CMS</li><li>Commerce: Commercetools, Salesforce Commerce Cloud, Shopify Plus</li><li>Front-End: React, Next.js, Vue</li><li>CDP & Analytics: Adobe Experience Platform (AEP), Segment, GA360, Adobe Analytics, Snowflake</li><li>Integration Architecture: APIs, microservices, composable stacks</li><li>Creative Automation & Localisation: Bynder, Celtra, Smartly.io, generative AI content workflows</li><li>3D & Visualisation: GRIP, Threekit, AR/VR integration</li></ul>You’ll Succeed If You<ul><li>Have 10+ years’ experience designing or integrating large and complex enterprise-scale MarTech ecosystems.</li><li>Can translate marketing goals into scalable technical architectures.</li><li>Thrive in ambiguous and complicated, multi-brand environments.</li><li>Understand the balance between creative flexibility and operational efficiency.</li></ul>

Technology Architect - Marketing / Platforms / Digital / CX

Overview We are looking for an experienced Python Developer / Software Engineer (m/f/d) to design and develop a flexible, multi-user capable Python interface for a next-generation radio frequency measurement system. You will play a key role in modernising a C#-based test environment by developing a Python-driven control and evaluation framework that supports both manual and automated testing. This is a full-time position based in Munich, Germany, with up to 60% remote work flexibility and a competitive salary between €70,000 – €90,000, depending on experience. Position Details<ul><li>Position: P1 – Python Programmer / Software Engineer (m/f/d)</li><li>Location: Munich, Germany (Hybrid – up to 60% remote)</li><li>Start Date: December 1, 2025</li><li>Duration: Up to 24 months (system conversion target: 12 months)</li><li>Working Hours: 40 hours per week</li><li>Security Briefing: NfD (Classified Information for Official Use Only) required</li><li>Salary Range: €70,000 – €90,000 gross annually (depending on experience)</li></ul>Key Responsibilities<ul><li>Analyze and understand the current Analog/Digital measurement system (C#-based) used for manual and automated RF testing.</li><li>Design and develop a Python-based interface that can control and evaluate the measuring system while ensuring data consistency with the existing C# system.</li><li>Migrate existing test cases from C# to Python, ensuring compatibility and reliability.</li><li>Validate and test the new Python interface for both manual and automated workflows, integrating with frameworks such as G5 and supporting future migration to DETECT.</li><li>Architect a modular solution that supports on-the-fly Python scripting for extending or overriding standard processes.</li><li>Develop a concept for multi-user operation, including rights management, script sharing, and collaboration features.</li><li>Document all technical aspects, including API references, interface specifications, and user guides for a clear, developer-friendly experience.</li><li>Plan and track development progress using Jira, applying agile and CI/CD practices for efficient delivery.</li></ul>Required Qualifications<ul><li>University degree in Computer Science, Electrical Engineering, or an equivalent technical field.</li><li>Expert knowledge of Python (3.x or higher), especially in hardware control, test automation, and interface programming (e.g., via serial port or USB).</li><li>Solid understanding of C# and cross-language communication (e.g., via APIs, data formats, or message brokers).</li><li>Experience with CI/CD pipelines, Git, and agile software development.</li><li>Strong grasp of modular software architecture principles; PyQt experience is a plus.</li><li>Proven ability to create comprehensive technical documentation (including API and developer references).</li><li>Languages: Fluent/Negotiation-level German (C1) and basic English required.</li><li>Not suitable for career starters — we are seeking an experienced professional with proven project experience.</li></ul>Preferred Skills<ul><li>Experience in radio frequency testing, measurement systems, or embedded software integration.</li><li>Familiarity with hardware communication protocols, instrument control, and signal processing workflows.</li><li>Hands-on experience in test framework migration and system modernization projects.</li></ul>What We Offer<ul><li>Opportunity to shape the next generation of RF test automation tools.</li><li>Work in a high-tech engineering environment with modern development tools and agile practices.</li><li>Hybrid work model – up to 60% remote per week.</li><li>Competitive annual salary of €70,000 – €90,000+ based on experience.</li><li>Long-term project (24 months) with a clear 12-month system conversion goal.</li></ul>

Python Developer / Software Engineer (m/f/d) – Test Automation, API, Multi-User Interface

​Sergio joined as a Consultant sitting within our UK Contract team in 2021. He specialising in data roles recruitng for; Data analysts, Data Engineers, data scientists, insights and reporting consultants. He has since been promoted to Senior Consultant. 

Algorithm Engineer

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Sergio Osman

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