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Staffworx Limited

Staffworx Limited

staffworx.co

4 Jobs

17 Employees

About the Company

Staffworx is a full-service construction staffing, leased labor company that provides quality skilled tradesmen on time and when you need them. Founded upon principles of customer service, honesty, and integrity, we provide workforce solutions for any size contractor. See current open positions here: https://staffworx.applytojob.com/apply

Listed Jobs

Company background Company brand
Company Name
Staffworx Limited
Job Title
Palantir Foundry Lead Consultant
Job Description
**Job Title** Palantir Foundry Lead Consultant **Role Summary** Senior technical architect and hands‑on delivery lead for Palantir Foundry implementations. Own end‑to‑end solution design, deployment strategy, and operational runbooks while aligning with senior stakeholders and mentoring engineering teams. **Expectations** - Deliver production‑grade Foundry solutions that meet performance, security, and reliability SLAs. - Engage C‑suite and technical leaders to translate business requirements into robust architectures. - Provide continuous mentorship and enablement for developers, analysts, and power users. - Champion best practices, coding standards, and reusable patterns across the organization. **Key Responsibilities** - Design and implement data integration pipelines, ontology modeling, and application layers (Workshop, OSDK, Actions, AIP). - Define data modelling, transformation, lineage, permission (RBAC/ABAC), and auditability patterns. - Build and maintain CI/CD pipelines, environment promotion strategies, and infrastructure-as-code artifacts. - Tune scalability and reliability for large‑scale deployments (parallelism, caching, compute). - Design monitoring, alerting, observability, incident response, and root‑cause analysis processes. - Conduct technical discovery, risk assessment, and architecture reviews with senior stakeholders. - Enablement: deliver bootcamps, labs, and technical documentation for mixed‑ability teams. - Contribute to internal standards for code quality, naming, testing, and design patterns. **Required Skills** - Deep experience in Palantir Foundry (Forward‑Deployed Engineer or equivalent). - Proven ownership of multiple large‑scale Foundry implementations (architecture, deployment, operations). - Expertise in Pipeline Builder, Ontology, Workshop, Code Repositories, OSDK, Actions, and AIP. - Strong programming skills in Python, Java, or equivalent (data transformations, services, integrations). - Solid knowledge of batch/stream processing, data modeling, quality, and governance. - Experience integrating Foundry with SSO/SAML/OIDC, APIs, and enterprise data platforms. - Proficiency with Git, code review, automated testing, CI/CD, and infrastructure-as-code. - Excellent communication, stakeholder management, and mentoring abilities. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. - Palantir Foundry certification(s) or equivalent platform certification preferred. - Minimum 5–7 years of relevant data‑engineering or platform architecture experience.
Home based, United kingdom
On site
Senior
22-12-2025
Company background Company brand
Company Name
Staffworx Limited
Job Title
Data & AI Senior Consultants - Dynamic AI Consulting firm
Job Description
**Job Title** Data & AI Senior Consultant **Role Summary** Lead end‑to‑end data, machine learning, and Generative AI engagements that deliver measurable business value. Own the discovery, design, delivery, and production enablement of AI solutions while acting as the trusted advisor to C‑suite and technical stakeholders. **Expectations** - Operate independently and mentor junior consultants. - Own engagements from problem definition to operational impact, ensuring alignment with client objectives and measurable metrics. - Communicate complex technical concepts in plain business language. - Maintain high standards of data quality, security, and compliance throughout all projects. **Key Responsibilities** - Conduct discovery workshops, stakeholder interviews, and structured questioning to surface true business problems and define success metrics. - Prioritise use cases based on value, feasibility, and risk; advise when AI is not the optimal solution. - Translate business goals into clear, actionable roadmaps for data and AI initiatives. - Design and implement production‑ready ML/GenAI solutions, including data pipelines (batch or streaming), model training, fine‑tuning, and RAG systems. - Establish ML‑ops foundations: CI/CD pipelines, experiment tracking, model versioning, monitoring, and alerting. - Implement guardrails to prevent PII leakage, hallucinations, and off‑brand content in GenAI deployments. - Prepare and deliver client presentations, proposals, and status updates. - Support pre‑sales activities: scoping, effort estimation, outcome definition. - Communicate operational risks, mitigations, and compliance requirements to non‑technical stakeholders. - Facilitate workshops, playback sessions, and show‑and‑tells to build buy‑in. - Coach and support junior consultants, raising overall team capability. **Required Skills** - Deep knowledge of data science, machine learning, and Generative AI (e.g., large language models, RAG, fine‑tuning). - Experience building and deploying production ML pipelines (batch/streaming) and implementing ML‑ops practices (CI/CD, experiment tracking, monitoring). - Strong business acumen: ability to frame outcomes in higher revenue, cost reduction, risk mitigation, or customer experience. - Proficiency in Python, SQL; familiarity with PyTorch, TensorFlow, Hugging Face, and cloud ML services (AWS SageMaker, Azure ML, GCP Vertex AI). - Proven stakeholder management and client‑facing consulting skills (workshop facilitation, presentations, proposal writing). - Excellent communication: simplifying technical concepts for executives and non‑technical teams. - Leadership and mentoring capabilities. - Knowledge of data governance, privacy regulations (GDPR, CCPA), and security best practices. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related technical field. - Professional certifications preferred (e.g., AWS Certified Machine Learning – Specialty, Azure ML, GCP AI, or ML‑ops related). ---
Home based, United kingdom
On site
Senior
01-01-2026
Company background Company brand
Company Name
Staffworx Limited
Job Title
Palantir Foundry Consultant - Forward Deployed Engineer/FDE
Job Description
**Job Title** Palantir Foundry Consultant – Forward Deployed Engineer **Role Summary** Hands‑on consultant responsible for designing, building, deploying, and supporting Palantir Foundry solutions. Works closely with senior engineers, architects, and business stakeholders to own end‑to‑end delivery, from solution design and implementation to operational support and client engagement. **Expactations** - 3+ years of commercial experience with Palantir Foundry in implementation, consulting, or engineering. - Proven record of building pipelines, ontologies, and application components (Workshop, OSDK/APIs, Actions, AIP). - Experience in performance tuning, security configuration (RBAC/ABAC), schema change impact analysis, incident response, and root‑cause investigation. - Client‑facing skills: workshops, demos, requirement elicitation, and design walkthroughs. - Strong foundation in data engineering concepts and modern software engineering practices. **Key Responsibilities** - Design, implement, and maintain data integration pipelines, ontology models, and application layers on Foundry. - Configure permissions, RBAC/ABAC, object‑level security, and audit compliance. - Support CI/CD pipelines and environment promotion for Foundry artefacts. - Diagnose and optimize performance: parallelism, partitioning, caching, compute configuration. - Set up monitoring, alerting, and observability for pipelines, apps, and integrations. - Participate in incident response, root‑cause analysis, and enforce non‑functional requirements (SLA/SLO, resilience, backup). - Conduct technical discovery sessions, translate business needs into Foundry use cases, and demo prototypes to stakeholders. - Enable and train analysts and power users through labs, documentation, and knowledge sharing. - Follow and contribute to internal standards for code quality, naming conventions, testing, and design patterns. **Required Skills** - Deep familiarity with Foundry components: Pipeline Builder, Ontology, Workshop, Code Repositories, OSDK/APIs, Actions, AIP. - Proficient in at least one general‑purpose programming language (Python, Java, or similar) for data transformations, services, and integrations. - Core data engineering knowledge: batch/stream processing, data modelling, data quality, governance. - Integration experience with enterprise identity (SSO, SAML/OIDC), REST APIs, and data platforms/warehouses. - Modern software engineering practices: version control, code review, automated testing, CI/CD, infrastructure‑as‑code. - Ability to apply security principles and performance tuning in Foundry environments. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Systems, or a related discipline; Master’s preferred. - Relevant certifications (e.g., data engineering, cloud platforms, Palantir Foundry) are advantageous.
United kingdom based, United kingdom
On site
01-01-2026
Company background Company brand
Company Name
Staffworx Limited
Job Title
LLM & Agentic Consulting Engineer
Job Description
**Job Title** LLM & Agentic Consulting Engineer **Role Summary** Senior consulting engineer responsible for designing, building, and deploying AI‑native, agentic systems for enterprise clients. Combines deep technical expertise in large language models, retrieval architectures, and ontology-based reasoning with client‑facing project leadership to deliver production‑grade solutions. **Expectations** - 6–8 years of software/AI engineering experience in a consulting or professional services environment. - Proven track record of delivering LLM‑powered, multi‑agent, and retrieval‑based applications on major cloud AI platforms. - Strong client‑management skills: translate ambiguous business problems into feasible, measurable AI solutions; maintain safe, reliable, and compliant deployments. **Key Responsibilities** - Design and deliver production‑grade AI systems: LLM applications, multi‑agent architectures, retrieval & vector pipelines, ontology‑based knowledge models, and enterprise integrations. - Lead technical design and architectural decisions within client engagements; set direction across delivery pods. - Conduct technical discovery, feasibility studies, and solution architecture workshops with clients and consulting counterparts. - Build evaluation frameworks, safety checks, monitoring, logging, and incident‑response patterns to ensure observability, governance, and compliance. - Create reusable accelerators, agent patterns, and technical templates to scale consulting delivery. - Contribute to internal playbooks, training, and enablement programs; share emerging research and frameworks. **Required Skills** - Deep hands‑on experience with LLMs, embeddings, RAG, retrieval stacks, and vector databases. - Expertise in designing or implementing multi‑agent systems or tool‑calling frameworks. - Advanced Python programming for production‑grade system development. - Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic). - Knowledge of semantic modeling, ontologies, or knowledge graph concepts. - Rapid prototyping and iterative client validation capabilities. - Strong communication skills for technical and non‑technical audiences. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Engineering, or related field (Master’s preferred). - Relevant certifications (e.g., cloud AI platform certifications, data engineering credentials) are a plus.
Home based, United kingdom
On site
Mid level
06-01-2026