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Senior Algorithm Engineer Remote within: UK O/IR35 | NL BEL & GER B2B Initial Length: 6-9 Months I am hiring a Senior Algorithm Engineer to lead the design, optimisation, and scaling of core algorithmic and data solutions within a fast-paced SaaS environment operating across complex, high-volume datasets. This role sits at the intersection of engineering, data, and commercial problem-solving. You will work closely with domain specialists and cross-functional teams to translate real-world business requirements into scalable, production-grade forecasting, pricing, and optimisation solutions. This is a hands-on senior engineering role with strong technical leadership responsibilities. You will contribute to architectural decisions, improve engineering standards, and help shape how critical algorithms are designed, deployed, and maintained across the platform. Responsibilities Design and deliver scalable algorithms for forecasting, pricing, and optimisation across large and complex datasets Lead technical direction for high-volume data processing systems, ensuring performance, explainability, reliability, and production readiness Work closely with Product, Data, and Delivery teams to translate business requirements into robust engineering solutions Support architectural decisions across distributed systems, workflows, and microservices Improve system robustness, performance, and scalability across models and processing pipelines Mentor engineers through code reviews, documentation, and technical collaboration, helping raise overall engineering standards Requirements Proven experience designing, developing, and deploying algorithms or data models in production environments, particularly across forecasting, pricing, or optimisation use cases Strong Python engineering skills alongside modern data tooling such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark Experience building microservices and working within distributed system architectures Strong understanding of large-scale or high-frequency data environments such as IoT, sensor, weather, utility, or operational data Ability to make technical decisions, influence design direction, and work effectively across engineering and business teams Clear communication skills and experience mentoring or guiding other engineers Previous SaaS experience preferred; industry-specific domain knowledge is beneficial but not essential

Algorithm Engineer Location: Remote IN UK O/IR35 | NL, BEL & GER B2B Length: 6 months + We are hiring an Algorithm Engineer to help design, build, and improve core algorithmic and data solutions within a fast-paced SaaS environment working across complex, high-volume datasets. You will work closely with domain specialists and experienced engineers to turn business logic into reliable software solutions across forecasting, pricing, and optimisation problems. This is a hands-on engineering role with strong exposure to real production systems and excellent opportunity for technical growth. You will collaborate across Product, Data, and Delivery teams, contributing to both day-to-day engineering delivery and the continuous improvement of platform performance and scalability. Responsibilities Build and improve scalable algorithms for forecasting, pricing, and optimisation across large and complex datasets Contribute to design discussions around high-volume data processing, helping ensure reliability, explainability, and production readiness Work closely with Product, Data, and Delivery teams to translate business requirements into practical engineering solutions Improve the robustness, scalability, and performance of models, workflows, and distributed systems Contribute reusable components and help raise engineering quality through code reviews, collaboration, and continuous improvement Learn from senior engineers through pairing, reviews, and knowledge sharing while gradually taking on greater ownership Requirements Hands-on experience designing, developing, or deploying algorithms or data models across forecasting, pricing, optimisation, or similar analytical problem spaces Solid Python skills and working knowledge of modern data tools such as SQL, Pandas, Polars, DuckDB, NumPy, or SciPy Exposure to Dask, PySpark, distributed systems, or microservices is beneficial but not essential Interest in working with large-scale or high-frequency datasets such as IoT, sensor, weather, utility, or operational data Strong problem-solving mindset with good communication and collaboration skills Ability to work well in cross-functional teams, ask the right questions, and communicate progress clearly Previous SaaS experience is helpful; industry-specific domain knowledge is a plus but not require

Lead Network Architect is required by a leading technology consultancy. The role blends architecture and vendor/technology evaluation with hands-on delivery. It would suit someone who enjoys designing complex, high-performance datacentre environments and then overseeing project delivery. Furthermore, you'd be responsible for end-to-end DC connectivity projects across network, compute, storage and security - from requirements and HLD/LLD through to production implementation. Strong EVPN/VXLAN experience is key, along with exposure to Cisco/Arista (plus Fortinet/Palo Alto), global DC connectivity and resilient inter-DC design. Ideally you will be CCIE (or equivalent) level engineer with 10+ years' experience who is technically curious, comfortable testing and validating new technologies, and confident collaborating across Linux, dev and security teams.

IDAM Engineer/IAM Engineer/Identity Engineer 4 month contract Hybrid - London/Remote £400 - £475 p/d (umbrella/inside IR35) IT Solutions Provider require an SC Cleared Identity Engineer to join an existing identity team in supporting the secure deployment of dependent identity infrastructure and configuration for the roll out of Windows 11. Entra ID/Azure troubleshooting skills are essential in relation to ensure an optimal user experience. This is an admin/engineer level role where you will be responsible for dealing with day-to-day issues from Jira tickets. Key Responsibilities: Deployment: Configuration of identity services and associated infrastructure to support modern devices within Microsoft Entra ID and Active Directory. Monitoring and Troubleshooting: Leverage native logging and diagnostic tooling to assist with issues related to modern devices for authentication and authorization. Technical Support: Provide guidance and support to team members including operational support teams. Documentation: Author and maintain documentation for operational procedures such as KB articles to share with peers and wider support personnel. Collaboration: Work effectively with teams across infrastructure, security, identity and application domains to enable secure and seamless integration. Required Skills and Experience: Strong hands-on experience with cloud based Microsoft identity services, including and not limited to, authentication and authorization, conditional access,

Search Relevance Engineer - REMOTE UK/US/EU About the role We are looking for an experienced Search Relevance Engineer to help shape and optimise the search experience for millions of users. This role sits at the intersection of engineering and data science, focusing on search relevancy, ranking models, and query understanding. You will work closely with Product, Engineering, DevOps, and Data teams to design and deliver strategic projects that directly impact customer experience. What you'll be doing Fine-tuning keyword search (including BM25), query expansion, and retrieval methods (ANN dense retrieval, sparse retrieval, semantic search). Applying techniques such as entity/name density recognition, query understanding, query rescorers, and learning-to-rank models. Experimenting with embeddings and vector search to improve personalisation and semantic relevance. Running offline evaluations to test and validate search performance improvements. Creating APIs to integrate custom ML models for reranking, personalisation, and visual merchandising. Optimising indexes and experimenting with analyzers to improve stability and performance. Collaborating cross-functionally with Product, ML Engineers, and Data Scientists to deliver scalable solutions. Mentoring team members and promoting a culture of engineering excellence and continuous improvement. What we're looking for Strong development skills across Python and MySQL. 5+ years of hands-on experience developing with Elasticsearch, with proven expertise in relevance engineering. Demonstrable use of ELK stack tools in production environments. Experience creating and deploying APIs in production (eg FastAPI). Solid understanding of database architecture and design. A strong test-and-learn mindset, with experience in offline evaluation methods. Excellent problem-solving skills, strategic thinking, and the ability to communicate effectively with both technical and non-technical stakeholders. Fluent in spoken and written English. Nice to have Experience with embeddings and vector databases. Direct collaboration experience with Machine Learning Engineers or Data Scientists.

Python Modelling Engineer - Digital Twin & Simulation London - Hybrid 6 months + Extensions Our client, a pioneering technology company, is seeking a Software Engineer specialising in Python, Digital Twin Cities and Modelling to develop and refine AI-driven simulations. This role will involve building large-scale models to support complex decision-making in urban planning, infrastructure, and beyond. Key Responsibilities: Develop, optimise, test and deploy software models using C++ and Python. Work with mathematical modelling paradigms such as agent-based, event-based, and system dynamics modelling. Write production-quality code, ensuring best practices in performance, security, and maintainability. Scale large-scale simulations, extracting meaningful insights from vast datasets. Work with Kafka, Docker, Kubernetes, Helm. Design and optimise data pipelines, databases, and metadata management. Skills & Experience: Strong programming skills in C++ and Python. Experience with modelling and simulation tools, ideally in agent-based modelling. Proficiency in distributed computing, cloud-based infrastructure, and database optimisation. Knowledge of data engineering techniques and metadata management. A holistic approach to software development, including testing, documentation, and security. Strong problem-solving skills and the ability to collaborate effectively within a multidisciplinary team . If you're passionate about simulation technology and want to work on cutting-edge AI-driven models, apply now or get in touch for more details.

Are you a maths or statistics graduate looking for an exciting opportunity to start your career in data analysis? We are a leading company in North London, offering a hybrid work environment and a competitive salary. We are looking for a graduate data analyst who can help us: Develop and maintain records management processes and policies Identify areas to increase efficiency and automation of data processes Set up and maintain automated data processes Identify, evaluate and implement external services and tools to support data validation and cleansing Create and update dashboards and reports using Power BI, a powerful data visualization tool Write and optimize SQL queries to access and manipulate data from various sources Collaborate with other teams and stakeholders to understand their requirements and deliver actionable insights Develop and document best practices and standards for data quality, security and governance To be successful in this role, you should have: A bachelor's degree in maths, statistics or a related field Some experience with Power BI and SQL or similar tools Good applied statistical skills, including knowledge of statistical tests, distributions, regression, etc. Strong analytical, problem-solving and communication skills A curious and proactive mindset, eager to learn new skills and technologies No sponsorship available on this role. Please send me your updated CV to (see below)