Data & AI Senior Consultants Location - We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based. What you will actually be doing This is not a role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context. You will own work from the very beginning, asking questions like "What value are we trying to create here?" and "Is this the right problem to solve?" through to "It is live, stakeholders are using it and we can see the impact in the numbers." You will work fairly independently and you will also be someone that more junior team members look to for help and direction. A big part of the job is taking messy, ambiguous business and technical problems and turning them into clear, valuable solutions that make sense to the client. You will do this in a client facing role. That means you will be in the room for key conversations, providing honest advice, managing expectations and helping clients make good decisions about where and how to use AI. What your day to day might look like Getting to the heart of the problem Meeting with stakeholders who may not be clear on what they really need Using discovery sessions, workshops and structured questioning to uncover the real business problem Framing success in terms of value. For example higher revenue, lower cost, reduced risk, increased efficiency or better customer experience Translating business goals into a clear roadmap of data and AI work that everyone can understand Advising clients when AI is not the right solution and suggesting simpler or more cost effective alternatives Consulting and advisory work Acting as a trusted advisor to product owners, heads of department and executives Helping clients prioritise use cases based on value, feasibility and risk Communicating trade offs in a simple way. For example accuracy versus speed, innovation versus compliance, cost versus impact Preparing and delivering client presentations, proposals and updates that tell a clear story Supporting pre sales activities where needed, such as scoping work, estimating effort and defining outcomes Managing client expectations, risks and dependencies so there are no surprises Building things that actually work Once the problem and value are clear, you will design and deliver production ready ML and GenAI solutions. That includes: Designing and building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both technical and non technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful or off brand content Defining and tracking the right metrics so you and the client can see whether a GenAI solution is useful and cost effective Fine tuning and optimising models so they perform well for the use case and budget Designing agentic workflows where they genuinely improve outcomes rather than add complexity Helping clients understand what GenAI can and cannot do in practice Keeping it running You will set up the foundations that protect value over time: Experiment tracking and model versioning so you know what works and can roll back safely CI/CD pipelines for ML so improvements reach users quickly and reliably Monitoring and alerting for models and data so you can catch issues before they damage trust or results Communicating operational risks and mitigations to non technical stakeholders in plain language Security, quality and compliance You will help make sure: Data is accurate, traceable and well managed so decisions are sound Sensitive data is handled correctly, protecting users and the business Regulatory and compliance requirements are met, avoiding costly mistakes Clients understand the risk profile of AI solutions and the controls in place Working with people You will be a bridge between technical and non technical teams, inside our organisation and on the client side. That means: Explaining complex ML and GenAI ideas in plain language, always tied to business outcomes Working closely with product managers, engineers and business stakeholders to prioritise work that matters Facilitating workshops, playback sessions and show and tells that build buy in and understanding Coaching and supporting junior colleagues so the whole team can deliver more value Representing the company professionally in client meetings and at industry events What we are looking for Experience Around 3 to 6 years of experience shipping ML or GenAI solutions into production A track record of seeing projects through from discovery to delivery, with clear impact Experience working directly with stakeholders or clients in a consulting, advisory or product facing role Education A Bachelor or Master degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics or Engineering or Equivalent experience that shows you can deliver results Technical skills Core skills Strong Python and SQL, with clean, maintainable code Solid understanding of ML fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector databases such as FAISS, Pinecone or Weaviate Ability to evaluate and improve prompts and retrieval quality using clear metrics Understanding of safety practices such as PII redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor and respond to it before it erodes value Soft skills, the things that really matter You are comfortable in client facing settings and can build trust quickly You can talk with anyone from a CEO to a new data analyst, and always bring the conversation back to business value You can take a vague, messy business problem and turn it into a clear technical plan that links to outcomes and metrics You are happy to push back and challenge assumptions respectfully when it is in the client's best interest You like helping other people grow and are happy to mentor junior colleagues You communicate clearly in writing and in person Nice to have, not required Do not rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, Palantir Experience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLM Search and ranking experience. For example Elasticsearch or rerankers Background in time series forecasting, causal inference, recommender systems or optimisation Experience managing cloud costs and IAM so value is not lost to waste Ability to work in other languages where needed. For example Java, Scala, Go or bash Experience with BI tools such as Looker or Tableau Prior consulting experience or leading client projects end to end Contributions to open source, conference talks or published papers that show your ability to share ideas and influence the wider community Got a background that fits and you're up for a new challenge? Send over your latest CV, expectations and availability. Staffworx Limited is a UK based recruitment consultancy partnering with leading global brands across digital, AI, software, and business consulting. Let's talk about what you could add to the mix.
22/01/2026
Full time
Data & AI Senior Consultants Location - We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based. What you will actually be doing This is not a role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context. You will own work from the very beginning, asking questions like "What value are we trying to create here?" and "Is this the right problem to solve?" through to "It is live, stakeholders are using it and we can see the impact in the numbers." You will work fairly independently and you will also be someone that more junior team members look to for help and direction. A big part of the job is taking messy, ambiguous business and technical problems and turning them into clear, valuable solutions that make sense to the client. You will do this in a client facing role. That means you will be in the room for key conversations, providing honest advice, managing expectations and helping clients make good decisions about where and how to use AI. What your day to day might look like Getting to the heart of the problem Meeting with stakeholders who may not be clear on what they really need Using discovery sessions, workshops and structured questioning to uncover the real business problem Framing success in terms of value. For example higher revenue, lower cost, reduced risk, increased efficiency or better customer experience Translating business goals into a clear roadmap of data and AI work that everyone can understand Advising clients when AI is not the right solution and suggesting simpler or more cost effective alternatives Consulting and advisory work Acting as a trusted advisor to product owners, heads of department and executives Helping clients prioritise use cases based on value, feasibility and risk Communicating trade offs in a simple way. For example accuracy versus speed, innovation versus compliance, cost versus impact Preparing and delivering client presentations, proposals and updates that tell a clear story Supporting pre sales activities where needed, such as scoping work, estimating effort and defining outcomes Managing client expectations, risks and dependencies so there are no surprises Building things that actually work Once the problem and value are clear, you will design and deliver production ready ML and GenAI solutions. That includes: Designing and building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both technical and non technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful or off brand content Defining and tracking the right metrics so you and the client can see whether a GenAI solution is useful and cost effective Fine tuning and optimising models so they perform well for the use case and budget Designing agentic workflows where they genuinely improve outcomes rather than add complexity Helping clients understand what GenAI can and cannot do in practice Keeping it running You will set up the foundations that protect value over time: Experiment tracking and model versioning so you know what works and can roll back safely CI/CD pipelines for ML so improvements reach users quickly and reliably Monitoring and alerting for models and data so you can catch issues before they damage trust or results Communicating operational risks and mitigations to non technical stakeholders in plain language Security, quality and compliance You will help make sure: Data is accurate, traceable and well managed so decisions are sound Sensitive data is handled correctly, protecting users and the business Regulatory and compliance requirements are met, avoiding costly mistakes Clients understand the risk profile of AI solutions and the controls in place Working with people You will be a bridge between technical and non technical teams, inside our organisation and on the client side. That means: Explaining complex ML and GenAI ideas in plain language, always tied to business outcomes Working closely with product managers, engineers and business stakeholders to prioritise work that matters Facilitating workshops, playback sessions and show and tells that build buy in and understanding Coaching and supporting junior colleagues so the whole team can deliver more value Representing the company professionally in client meetings and at industry events What we are looking for Experience Around 3 to 6 years of experience shipping ML or GenAI solutions into production A track record of seeing projects through from discovery to delivery, with clear impact Experience working directly with stakeholders or clients in a consulting, advisory or product facing role Education A Bachelor or Master degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics or Engineering or Equivalent experience that shows you can deliver results Technical skills Core skills Strong Python and SQL, with clean, maintainable code Solid understanding of ML fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector databases such as FAISS, Pinecone or Weaviate Ability to evaluate and improve prompts and retrieval quality using clear metrics Understanding of safety practices such as PII redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor and respond to it before it erodes value Soft skills, the things that really matter You are comfortable in client facing settings and can build trust quickly You can talk with anyone from a CEO to a new data analyst, and always bring the conversation back to business value You can take a vague, messy business problem and turn it into a clear technical plan that links to outcomes and metrics You are happy to push back and challenge assumptions respectfully when it is in the client's best interest You like helping other people grow and are happy to mentor junior colleagues You communicate clearly in writing and in person Nice to have, not required Do not rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, Palantir Experience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLM Search and ranking experience. For example Elasticsearch or rerankers Background in time series forecasting, causal inference, recommender systems or optimisation Experience managing cloud costs and IAM so value is not lost to waste Ability to work in other languages where needed. For example Java, Scala, Go or bash Experience with BI tools such as Looker or Tableau Prior consulting experience or leading client projects end to end Contributions to open source, conference talks or published papers that show your ability to share ideas and influence the wider community Got a background that fits and you're up for a new challenge? Send over your latest CV, expectations and availability. Staffworx Limited is a UK based recruitment consultancy partnering with leading global brands across digital, AI, software, and business consulting. Let's talk about what you could add to the mix.
Palantir Foundry Consultant You'll work as a hands-on Palantir Foundry consultant, helping to design, build and support data and application workflows on the platform. You'll work closely with senior Foundry engineers and architects, contribute to technical decisions, and collaborate directly with business stakeholders as you grow into owning areas end-to-end. Core Responsibilities Foundry Solution Delivery Contribute to solution design and implementation across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (objects, relationships, basic semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Implement data modelling and transformation patterns under guidance from senior team members. Help configure permissions (RBAC/ABAC), object-level security and auditability following established standards. Support CI/CD and environment promotion processes for Foundry artefacts. Scalability, Reliability & Operations Help investigate performance issues (eg parallelisation, partitioning, caching, compute configuration) with mentorship from more senior colleagues. Contribute to monitoring, alerting and observability setup for pipelines, applications and integrations. Participate in incident response and root cause analysis for platform and application issues. Assist in applying non-functional requirements (SLA/SLOs, resilience, backup and recovery) defined by senior engineers. Client-Facing Engineering & Stakeholder Support Join technical discovery sessions to help translate business needs into Foundry use cases. Prepare and demo prototypes, data flows and applications to technical and business users. Support integration work with existing enterprise systems (data warehouses, APIs, identity providers) under guidance. Enablement, Collaboration & Standards Take part in and later help deliver technical enablement sessions, hands-on labs and onboarding for analysts and power users. Share learning, debugging tips and best practices with peers. Follow internal standards for code quality, naming conventions, testing and design patterns and contribute improvements as you gain experience. Required Experience Commercial experience working with Palantir Foundry in an implementation, consulting or engineering role. Hands-on experience with: Building and maintaining Foundry pipelines and/or ontologies. Developing or supporting Foundry applications (Workshop, Code Repos, OSDK, Actions). Exposure to at least one production Foundry project, contributing to: Solution implementation. Deployment or promotion through environments. Operational support and troubleshooting. Experience dealing with: Performance issues or optimisation tasks. Permissions and basic security models. Schema/ontology changes and their impact on downstream use cases. Integration problems and incident recovery in collaboration with senior staff. Some client-facing experience (eg workshops, demos, requirement sessions or design walkthroughs). Any experience helping to train, onboard or support other Foundry users (eg internal sessions, documentation, brown-bag talks) is a plus. Familiarity with Foundry's constraints and common pitfalls, and willingness to learn deeper platform internals, limitations and workarounds. Technical Skills Practical experience with core Foundry components such as: Pipeline Builder Ontology Workshop Code Repositories OSDK/APIs Actions and AIP/agentic features Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java or similar) for data transformations, services and integrations. Solid understanding of core data engineering concepts: batch/stream processing basics, data modelling, data quality and governance. Experience (or strong interest) in integrating Foundry with: Enterprise identity (SSO, SAML/OIDC) REST APIs and services Existing data platforms or warehouses Familiarity with modern software engineering practices: Version control and code review Automated testing CI/CD pipelines Infrastructure-as-code concepts (where applicable)
22/01/2026
Full time
Palantir Foundry Consultant You'll work as a hands-on Palantir Foundry consultant, helping to design, build and support data and application workflows on the platform. You'll work closely with senior Foundry engineers and architects, contribute to technical decisions, and collaborate directly with business stakeholders as you grow into owning areas end-to-end. Core Responsibilities Foundry Solution Delivery Contribute to solution design and implementation across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (objects, relationships, basic semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Implement data modelling and transformation patterns under guidance from senior team members. Help configure permissions (RBAC/ABAC), object-level security and auditability following established standards. Support CI/CD and environment promotion processes for Foundry artefacts. Scalability, Reliability & Operations Help investigate performance issues (eg parallelisation, partitioning, caching, compute configuration) with mentorship from more senior colleagues. Contribute to monitoring, alerting and observability setup for pipelines, applications and integrations. Participate in incident response and root cause analysis for platform and application issues. Assist in applying non-functional requirements (SLA/SLOs, resilience, backup and recovery) defined by senior engineers. Client-Facing Engineering & Stakeholder Support Join technical discovery sessions to help translate business needs into Foundry use cases. Prepare and demo prototypes, data flows and applications to technical and business users. Support integration work with existing enterprise systems (data warehouses, APIs, identity providers) under guidance. Enablement, Collaboration & Standards Take part in and later help deliver technical enablement sessions, hands-on labs and onboarding for analysts and power users. Share learning, debugging tips and best practices with peers. Follow internal standards for code quality, naming conventions, testing and design patterns and contribute improvements as you gain experience. Required Experience Commercial experience working with Palantir Foundry in an implementation, consulting or engineering role. Hands-on experience with: Building and maintaining Foundry pipelines and/or ontologies. Developing or supporting Foundry applications (Workshop, Code Repos, OSDK, Actions). Exposure to at least one production Foundry project, contributing to: Solution implementation. Deployment or promotion through environments. Operational support and troubleshooting. Experience dealing with: Performance issues or optimisation tasks. Permissions and basic security models. Schema/ontology changes and their impact on downstream use cases. Integration problems and incident recovery in collaboration with senior staff. Some client-facing experience (eg workshops, demos, requirement sessions or design walkthroughs). Any experience helping to train, onboard or support other Foundry users (eg internal sessions, documentation, brown-bag talks) is a plus. Familiarity with Foundry's constraints and common pitfalls, and willingness to learn deeper platform internals, limitations and workarounds. Technical Skills Practical experience with core Foundry components such as: Pipeline Builder Ontology Workshop Code Repositories OSDK/APIs Actions and AIP/agentic features Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java or similar) for data transformations, services and integrations. Solid understanding of core data engineering concepts: batch/stream processing basics, data modelling, data quality and governance. Experience (or strong interest) in integrating Foundry with: Enterprise identity (SSO, SAML/OIDC) REST APIs and services Existing data platforms or warehouses Familiarity with modern software engineering practices: Version control and code review Automated testing CI/CD pipelines Infrastructure-as-code concepts (where applicable)
LLM & Agentic Consulting Engineer - Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm's long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial) and alongside consulting and orchestration roles, translating complex insurance problems into safe, reliable and auditable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design (Insurance-Focused) You will design and deliver production-grade AI systems for insurance clients, including: LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations Multi-agent architectures for insurance workflows, including triage, decision support, escalation, delegation and human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third-party providers Prompt engineering at scale with regulatory guardrails, explainability, traceability and auditability Safety constraints for hallucination control, coverage interpretation accuracy and customer-facing use cases You will lead technical design within client engagements and set architectural direction across delivery pods. Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: Translate ambiguous insurance challenges into clear, feasible AI architectures Assess client data maturity, policy document quality, Legacy platforms and security constraints Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities Produce clear, concise technical artefacts suitable for regulated, risk-aware client audiences Delivery Excellence, AI Ops & Reliability (Regulated Environments) You will ensure solutions are enterprise-ready and regulator-safe by: Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias Designing monitoring, logging and tracing suitable for regulated insurance environments Applying governance, risk and compliance principles (eg audit trails, explainability, access controls) Supporting controlled releases and operational handover into insurer IT and operations teams Ensuring reliability, reproducibility, performance and cost discipline at insurance scale Reusable Assets & Insurance AI Capability Building As part of a consulting-led engineering practice, you will: Build reusable insurance-specific accelerators, agent patterns and reference architectures Contribute to internal playbooks covering claims, underwriting, policy servicing and compliance use cases Share emerging research, frameworks and AI trends relevant to the insurance sector Influence delivery methodology, technical standards and agentic design patterns for regulated industries Experience & Skills This is a senior, hands-on consulting engineering role. Candidates should bring: Experience in software engineering, AI engineering or applied data engineering Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production-grade, regulated systems Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic) Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains Proven ability to rapidly prototype and validate solutions with business stakeholders Experience working directly with clients in consulting, professional services or regulated enterprise environments Insurance domain experience (claims, underwriting, policy, risk, compliance or adjacent systems) strongly preferred Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.
21/01/2026
Full time
LLM & Agentic Consulting Engineer - Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm's long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial) and alongside consulting and orchestration roles, translating complex insurance problems into safe, reliable and auditable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design (Insurance-Focused) You will design and deliver production-grade AI systems for insurance clients, including: LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations Multi-agent architectures for insurance workflows, including triage, decision support, escalation, delegation and human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third-party providers Prompt engineering at scale with regulatory guardrails, explainability, traceability and auditability Safety constraints for hallucination control, coverage interpretation accuracy and customer-facing use cases You will lead technical design within client engagements and set architectural direction across delivery pods. Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: Translate ambiguous insurance challenges into clear, feasible AI architectures Assess client data maturity, policy document quality, Legacy platforms and security constraints Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities Produce clear, concise technical artefacts suitable for regulated, risk-aware client audiences Delivery Excellence, AI Ops & Reliability (Regulated Environments) You will ensure solutions are enterprise-ready and regulator-safe by: Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias Designing monitoring, logging and tracing suitable for regulated insurance environments Applying governance, risk and compliance principles (eg audit trails, explainability, access controls) Supporting controlled releases and operational handover into insurer IT and operations teams Ensuring reliability, reproducibility, performance and cost discipline at insurance scale Reusable Assets & Insurance AI Capability Building As part of a consulting-led engineering practice, you will: Build reusable insurance-specific accelerators, agent patterns and reference architectures Contribute to internal playbooks covering claims, underwriting, policy servicing and compliance use cases Share emerging research, frameworks and AI trends relevant to the insurance sector Influence delivery methodology, technical standards and agentic design patterns for regulated industries Experience & Skills This is a senior, hands-on consulting engineering role. Candidates should bring: Experience in software engineering, AI engineering or applied data engineering Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production-grade, regulated systems Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic) Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains Proven ability to rapidly prototype and validate solutions with business stakeholders Experience working directly with clients in consulting, professional services or regulated enterprise environments Insurance domain experience (claims, underwriting, policy, risk, compliance or adjacent systems) strongly preferred Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.
LLM & Agentic Consulting Engineer Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm's long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows Ontology and knowledge modelling literacy to enable precise reasoning and data alignment Integrations and automation via APIs, tools and enterprise systems Prompt engineering at scale, including pattern libraries, guardrails and explainability checks You will lead technical design within client engagements and set architectural direction across delivery pods. Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: Translate ambiguous client problems into clear, feasible engineering approaches Assess client data, platforms, security constraints and operating models Contribute to framing, use-case shaping and technical scoping discussions Work directly with client domain experts to surface edge cases and operational realities Produce clear, lightweight technical artefacts for client and internal audiences Delivery Excellence, AI Ops & Reliability You will ensure client solutions are safe, observable and enterprise-ready by: Implementing evaluation frameworks and safety checks across models and agents Designing monitoring, logging, tracing and incident-response patterns Applying governance, risk and compliance principles within client environments Supporting releases, environments and handover into client operations Ensuring reliability, reproducibility, performance and cost controls Reusable Assets & Consulting Capability Building As part of a consulting-led engineering practice, you will: Build reusable accelerators, agent patterns and technical templates for client delivery Contribute to internal playbooks, training and enablement programmes Share emerging research, frameworks and deep-tech insights with consulting teams Influence delivery methodology, technical standards and architectural patterns Experience & Skills This is a senior, hands-on consulting engineering role. Candidates should bring: 6 to 8 years' experience in software engineering, AI engineering, or applied data engineering Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production-grade systems Experience working across at least one major cloud AI ecosystem (eg Azure/OpenAI, GCP/Vertex, AWS, Anthropic) Familiarity with semantic modelling, ontologies, or knowledge graph concepts Proven ability to rapidly prototype solutions for client validation Experience working directly with clients in consulting or professional services contexts Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.
20/01/2026
Full time
LLM & Agentic Consulting Engineer Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm's long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows Ontology and knowledge modelling literacy to enable precise reasoning and data alignment Integrations and automation via APIs, tools and enterprise systems Prompt engineering at scale, including pattern libraries, guardrails and explainability checks You will lead technical design within client engagements and set architectural direction across delivery pods. Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: Translate ambiguous client problems into clear, feasible engineering approaches Assess client data, platforms, security constraints and operating models Contribute to framing, use-case shaping and technical scoping discussions Work directly with client domain experts to surface edge cases and operational realities Produce clear, lightweight technical artefacts for client and internal audiences Delivery Excellence, AI Ops & Reliability You will ensure client solutions are safe, observable and enterprise-ready by: Implementing evaluation frameworks and safety checks across models and agents Designing monitoring, logging, tracing and incident-response patterns Applying governance, risk and compliance principles within client environments Supporting releases, environments and handover into client operations Ensuring reliability, reproducibility, performance and cost controls Reusable Assets & Consulting Capability Building As part of a consulting-led engineering practice, you will: Build reusable accelerators, agent patterns and technical templates for client delivery Contribute to internal playbooks, training and enablement programmes Share emerging research, frameworks and deep-tech insights with consulting teams Influence delivery methodology, technical standards and architectural patterns Experience & Skills This is a senior, hands-on consulting engineering role. Candidates should bring: 6 to 8 years' experience in software engineering, AI engineering, or applied data engineering Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production-grade systems Experience working across at least one major cloud AI ecosystem (eg Azure/OpenAI, GCP/Vertex, AWS, Anthropic) Familiarity with semantic modelling, ontologies, or knowledge graph concepts Proven ability to rapidly prototype solutions for client validation Experience working directly with clients in consulting or professional services contexts Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.
Palantir Foundry Lead Consultant - Lead architect and hands-on technical owner for Palantir Foundry implementations. You will design and build production-grade data and application workflows on Foundry, own technical decisions end-to-end and work directly with senior stakeholders while mentoring engineering teams. Core Responsibilities Foundry Solution Architecture & Build Own end-to-end solution design across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (object/relationship design, semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Define and implement patterns for data modelling, transformation, and lineage tracking. Design permission models (RBAC/ABAC), object-level security and auditability. Implement CI/CD and environment promotion strategies for Foundry artefacts. Scalability, Reliability & Operations Lead performance tuning for large-scale production deployments (eg parallelisation, partitioning, caching, compute configuration). Design monitoring, alerting and observability for pipelines, applications and integrations. Handle incident response and root cause analysis for platform and application issues. Define and enforce non-functional requirements (SLA/SLOs, resilience, disaster recovery). Client-Facing Engineering & Stakeholder Management Run technical discovery with senior stakeholders to translate business needs into concrete Foundry use cases. Present architectures, trade-offs and risk assessments to both technical teams and C-suite. Provide technical guidance on integration with existing enterprise systems (data warehouses, message buses, APIs, identity providers). Enablement, Mentoring & Standards Design and deliver technical bootcamps, hands-on labs and enablement plans for engineers, analysts and power users. Mentor engineers on Foundry internals, best practices, and debugging strategies. Contribute to and enforce internal standards: code quality, naming conventions, testing strategies, pipeline/app design patterns. Required Experience Extensive experience working with Palantir , ideally as a Forward Deployed Engineer or equivalent implementation role. Multiple large-scale Foundry implementations in production , with direct ownership of: Solution architecture Deployment strategy Operational runbook and handover Demonstrable enterprise experience with: Performance bottlenecks at scale Complex permissioning/security models Schema and ontology evolution Integration failures and incident recovery Strong client-facing track record with senior stakeholders and C-suite , including technical steering sessions and design reviews. History of teaching, mentoring or training engineers or mixed-ability teams on Foundry (eg bootcamps, internal academies, onboarding programmes). Exposure to Palantir product teams and a deep understanding of: Platform limitations and edge cases Common failure modes Practical workarounds and design patterns to avoid them Technical Skills Strong practical knowledge of core Foundry components: Pipeline Builder, Ontology, Workshop, Code Repositories, OSDK, Actions, AIP/agentic features. Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java, or similar) for transformations, services, and integrations. Solid background in data engineering concepts: batch/stream processing, data modelling, data quality, and governance. Experience integrating Foundry with enterprise identity (SSO, SAML/OIDC), APIs, and existing data platforms. Familiarity with modern software engineering practices: version control, code review, automated testing, CI/CD, infrastructure-as-code (where applicable). Profile Deep technical but pragmatic: optimises for correctness, reliability and maintainability under real-world constraints. Systems thinker: able to model complex domains and understand end-to-end data and control flows. Clear communicator: can move seamlessly between low-level detail and high-level architecture with different audiences. Enjoys debugging hard problems, documenting patterns, and building repeatable, reusable solutions. Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.
19/01/2026
Palantir Foundry Lead Consultant - Lead architect and hands-on technical owner for Palantir Foundry implementations. You will design and build production-grade data and application workflows on Foundry, own technical decisions end-to-end and work directly with senior stakeholders while mentoring engineering teams. Core Responsibilities Foundry Solution Architecture & Build Own end-to-end solution design across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (object/relationship design, semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Define and implement patterns for data modelling, transformation, and lineage tracking. Design permission models (RBAC/ABAC), object-level security and auditability. Implement CI/CD and environment promotion strategies for Foundry artefacts. Scalability, Reliability & Operations Lead performance tuning for large-scale production deployments (eg parallelisation, partitioning, caching, compute configuration). Design monitoring, alerting and observability for pipelines, applications and integrations. Handle incident response and root cause analysis for platform and application issues. Define and enforce non-functional requirements (SLA/SLOs, resilience, disaster recovery). Client-Facing Engineering & Stakeholder Management Run technical discovery with senior stakeholders to translate business needs into concrete Foundry use cases. Present architectures, trade-offs and risk assessments to both technical teams and C-suite. Provide technical guidance on integration with existing enterprise systems (data warehouses, message buses, APIs, identity providers). Enablement, Mentoring & Standards Design and deliver technical bootcamps, hands-on labs and enablement plans for engineers, analysts and power users. Mentor engineers on Foundry internals, best practices, and debugging strategies. Contribute to and enforce internal standards: code quality, naming conventions, testing strategies, pipeline/app design patterns. Required Experience Extensive experience working with Palantir , ideally as a Forward Deployed Engineer or equivalent implementation role. Multiple large-scale Foundry implementations in production , with direct ownership of: Solution architecture Deployment strategy Operational runbook and handover Demonstrable enterprise experience with: Performance bottlenecks at scale Complex permissioning/security models Schema and ontology evolution Integration failures and incident recovery Strong client-facing track record with senior stakeholders and C-suite , including technical steering sessions and design reviews. History of teaching, mentoring or training engineers or mixed-ability teams on Foundry (eg bootcamps, internal academies, onboarding programmes). Exposure to Palantir product teams and a deep understanding of: Platform limitations and edge cases Common failure modes Practical workarounds and design patterns to avoid them Technical Skills Strong practical knowledge of core Foundry components: Pipeline Builder, Ontology, Workshop, Code Repositories, OSDK, Actions, AIP/agentic features. Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java, or similar) for transformations, services, and integrations. Solid background in data engineering concepts: batch/stream processing, data modelling, data quality, and governance. Experience integrating Foundry with enterprise identity (SSO, SAML/OIDC), APIs, and existing data platforms. Familiarity with modern software engineering practices: version control, code review, automated testing, CI/CD, infrastructure-as-code (where applicable). Profile Deep technical but pragmatic: optimises for correctness, reliability and maintainability under real-world constraints. Systems thinker: able to model complex domains and understand end-to-end data and control flows. Clear communicator: can move seamlessly between low-level detail and high-level architecture with different audiences. Enjoys debugging hard problems, documenting patterns, and building repeatable, reusable solutions. Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.
Java Developer, Senior Java Developer to join marketing leading E-commerce software development team, providing state of the art full stack E-commerce software solutions based on API Microservices Cloud First technologies covering full stack Java, serverless, Java, kotlin and cloud. You will be working as part of a fully distributed UK development team, working from home but interacting daily with many of the World's leading retail and consumer products brands in sports, fashion, electronics and retail. EXPERIENCE Enterprise Java Development experience Spring Framework, Spring Boot. API based Microservices, REST APIs Public Cloud experience, ideally AWS or GCP Continuous Integration, Continuous Delivery. TDD, BDD, pair programming. Agile development methods such as Scrum or Kanban. BENEFICIAL Server Side Kotlin Docker, Kubernetes HTML, CSS, GraphQL React.js, NextJS, Vercel AWS Serverless, Lambda Gitlab CI, Jenkins, Terraform This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business. Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration.
05/11/2021
Full time
Java Developer, Senior Java Developer to join marketing leading E-commerce software development team, providing state of the art full stack E-commerce software solutions based on API Microservices Cloud First technologies covering full stack Java, serverless, Java, kotlin and cloud. You will be working as part of a fully distributed UK development team, working from home but interacting daily with many of the World's leading retail and consumer products brands in sports, fashion, electronics and retail. EXPERIENCE Enterprise Java Development experience Spring Framework, Spring Boot. API based Microservices, REST APIs Public Cloud experience, ideally AWS or GCP Continuous Integration, Continuous Delivery. TDD, BDD, pair programming. Agile development methods such as Scrum or Kanban. BENEFICIAL Server Side Kotlin Docker, Kubernetes HTML, CSS, GraphQL React.js, NextJS, Vercel AWS Serverless, Lambda Gitlab CI, Jenkins, Terraform This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business. Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration.
PySpark Data Engineer, AWS excellent rates, home based, long term programme, multiple extensions. Experience in the following; PySpark Data Engineering experience AWS Services, AWS EMR Python, Spark, SQL & noSQL experience Developing pipelines using PySpark Data Engineering tech Apache Airflow workflow automation for data pipelines TDD/BDD methodologies, Git INSIDE IR35 - this assignment will fall within scope of IR35 legislation and appropriate umbrella company should be utilised during this assignment. This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business. Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration.
05/11/2021
Contractor
PySpark Data Engineer, AWS excellent rates, home based, long term programme, multiple extensions. Experience in the following; PySpark Data Engineering experience AWS Services, AWS EMR Python, Spark, SQL & noSQL experience Developing pipelines using PySpark Data Engineering tech Apache Airflow workflow automation for data pipelines TDD/BDD methodologies, Git INSIDE IR35 - this assignment will fall within scope of IR35 legislation and appropriate umbrella company should be utilised during this assignment. This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business. Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration.
Senior Business Consultant (eCommerce) Consultant to work within our growing value add business consulting team specialising in digital change and transformation. To be successful in this role, you are expected to have in-depth experience of client-side Commerce operations and change strategies, understanding the realities of operating an ecommerce business/digital transformation initiative You will...... click apply for full job details
01/10/2021
Full time
Senior Business Consultant (eCommerce) Consultant to work within our growing value add business consulting team specialising in digital change and transformation. To be successful in this role, you are expected to have in-depth experience of client-side Commerce operations and change strategies, understanding the realities of operating an ecommerce business/digital transformation initiative You will...... click apply for full job details
Content Marketing Manager - Content Manager for leading software house. You will own the content marketing strategy and will be responsible for planning and executing a content strategy and development that drives thought leadership, awareness and lead generation. You'll be the first Content Marketing Manager to help us build a robust content marketing engine. This position is remote work friendly and can be based anywhere. Why you'll love it: help pioneer digital transformation across industries. be instrumental in building systems and processes that will assist in our growth and market development. work ith an exceptional team that is strongly collaborative and intensely supportive. build and execute a content strategy and calendar with engaging and relevant content to ensure consistent engagement that drives awareness and lead generation partner closely with subject matter experts to take highly technical concepts and translate them into content that explains the value to various target audiences with a focus on Enterprise develop content performance goals and report on the impact of content analyze content performance and use insights to increase leading acquisition and retention create brand content standards and maintain strong editorial quality across customer-facing content to ensure accuracy, voice, tone and consistency oversee SEO strategy to attract website visitors and improve search engine rankings Qualifications: 3-5 years of experience writing compelling content for B2B marketing, preferably in a technical field passion for breaking down complex, technical concepts into easy to understand and actionable copy Strong portfolio of work demonstrating a track record of developing content marketing strategy and executing with measurable results Excellent writer and researcher with the ability to simplify technical concepts into compelling narratives, ideally for an Enterprise audience Hands-on ability to create a wide range of marketing assets - including but not limited to ebooks, white papers, blogs, website copy, sales decks, webinars, tutorials, infographics, and videos Self-motivated with strong project management capabilities Bonus if you have expertise with SEO best practices, content categorization, distribution, promotion, measurement, and publishing platforms If you're interested in this opportunity, please email your latest CV with salary expectations and availability This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business. Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration
10/09/2021
Full time
Content Marketing Manager - Content Manager for leading software house. You will own the content marketing strategy and will be responsible for planning and executing a content strategy and development that drives thought leadership, awareness and lead generation. You'll be the first Content Marketing Manager to help us build a robust content marketing engine. This position is remote work friendly and can be based anywhere. Why you'll love it: help pioneer digital transformation across industries. be instrumental in building systems and processes that will assist in our growth and market development. work ith an exceptional team that is strongly collaborative and intensely supportive. build and execute a content strategy and calendar with engaging and relevant content to ensure consistent engagement that drives awareness and lead generation partner closely with subject matter experts to take highly technical concepts and translate them into content that explains the value to various target audiences with a focus on Enterprise develop content performance goals and report on the impact of content analyze content performance and use insights to increase leading acquisition and retention create brand content standards and maintain strong editorial quality across customer-facing content to ensure accuracy, voice, tone and consistency oversee SEO strategy to attract website visitors and improve search engine rankings Qualifications: 3-5 years of experience writing compelling content for B2B marketing, preferably in a technical field passion for breaking down complex, technical concepts into easy to understand and actionable copy Strong portfolio of work demonstrating a track record of developing content marketing strategy and executing with measurable results Excellent writer and researcher with the ability to simplify technical concepts into compelling narratives, ideally for an Enterprise audience Hands-on ability to create a wide range of marketing assets - including but not limited to ebooks, white papers, blogs, website copy, sales decks, webinars, tutorials, infographics, and videos Self-motivated with strong project management capabilities Bonus if you have expertise with SEO best practices, content categorization, distribution, promotion, measurement, and publishing platforms If you're interested in this opportunity, please email your latest CV with salary expectations and availability This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business. Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration
Senior React Developer, remote, WFH React and ideally NextJS for delivery of greenfield B2C consumer website, Delivery with eadless CMS systems integration, later projects will involve B2C commerce. React.js essential, ideally with some NextJS Styled-components Jest, React-testing-library ES6, HTML5, CSS3 CI, TDD, BDD Headless CMS (contentstack, strapi, contentful) Vercel deployment experience beneficial outside IR35, remote delivery contract reactjs nextjs headlesscms FrontEnd staffworx talentpartner vercel If you are interested in this opportunity, please apply now with your updated CV in word/PDF format and expected day rate for outside IR35/remote contracts. If you're interested in this opportunity, please email your latest CV with expectations and availability This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business. Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration
10/09/2021
Contractor
Senior React Developer, remote, WFH React and ideally NextJS for delivery of greenfield B2C consumer website, Delivery with eadless CMS systems integration, later projects will involve B2C commerce. React.js essential, ideally with some NextJS Styled-components Jest, React-testing-library ES6, HTML5, CSS3 CI, TDD, BDD Headless CMS (contentstack, strapi, contentful) Vercel deployment experience beneficial outside IR35, remote delivery contract reactjs nextjs headlesscms FrontEnd staffworx talentpartner vercel If you are interested in this opportunity, please apply now with your updated CV in word/PDF format and expected day rate for outside IR35/remote contracts. If you're interested in this opportunity, please email your latest CV with expectations and availability This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business. Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration
SAP Commerce Developers, Hybris Developers (remote, outside IR35) 6 months rolling contract Experience Expert in Java coupled with a toolbox of other languages (eg Python, Javascript, Scala, Groovy, C#, or Ruby) Solid experience in developing E-commerce applications using SAP commerce platform Experience in developing SAP Commerce basket, checkout, payment integration and order management Development using SAP Commerce OCC APIs Spartacus based SAP Commerce CCV2 implementation is a plus Knowledge of eCommerce related components (eg search and navigation, product catalogue modelling, prices and promotions etc) Deep knowledge of best practices in developing for the web Scrum or Extreme Programming (XP) project methodologies to manage successful projects Continuous Integration (CI) and Continuous Deployment (CD) principles and tools such as Jenkins, TeamCity and Bamboo hybris sapcommerce sapccv2 contractjobs wfh remotejobs staffworx talentpartner If you're interested in this opportunity, please email your latest CV, or call James for more information. This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business. Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration
10/09/2021
Contractor
SAP Commerce Developers, Hybris Developers (remote, outside IR35) 6 months rolling contract Experience Expert in Java coupled with a toolbox of other languages (eg Python, Javascript, Scala, Groovy, C#, or Ruby) Solid experience in developing E-commerce applications using SAP commerce platform Experience in developing SAP Commerce basket, checkout, payment integration and order management Development using SAP Commerce OCC APIs Spartacus based SAP Commerce CCV2 implementation is a plus Knowledge of eCommerce related components (eg search and navigation, product catalogue modelling, prices and promotions etc) Deep knowledge of best practices in developing for the web Scrum or Extreme Programming (XP) project methodologies to manage successful projects Continuous Integration (CI) and Continuous Deployment (CD) principles and tools such as Jenkins, TeamCity and Bamboo hybris sapcommerce sapccv2 contractjobs wfh remotejobs staffworx talentpartner If you're interested in this opportunity, please email your latest CV, or call James for more information. This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business. Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration
