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Energize Group

Energize Group

www.energizerecruitment.com

4 Jobs

100 Employees

About the Company

WE are Energize Group. An award-winning talent partner for the SAP and Cloud marketplace. Established in 2006, we offer permanent and contract staffing solutions for our customers worldwide.

WE think globally, and act locally
With four international offices across the UK, Europe and the United States of America, our teams of expert recruitment consultants are technology vendor-specialists with deep expertise in SAP, Amazon Web Services, Microsoft Azure, and Google Cloud ecosystems.

WE are leaders in service
Pioneering the implementation of Net Promoter Score (NPS) into the UK staffing industry to drive up service standards, we understand staffing is about relationships and trust. We’ve received thousands of independent customer reviews and consistently achieved world class NPS for more than a decade.

WE have won an award or two along the way…
Sunday Times ‘Best Places to Work’
Feefo ‘Platinum Trusted Service’
Recruiter magazine ‘Hot 100’
Best Companies Award for Learning & Development

WE believe passionately in people-first, always.
Committed to creating and sustaining a high performing, rewarding, diverse and equitable place to work where every Energizer feels included, supported and understands the importance of their contribution to the journey. We have an environment that fuels continuous improvement which helps every individual reach and, often exceed, their ambitions and goals. When we succeed, so do our customers.

WE are energized by our Purpose, guided by our Values
Powering your growth through our expertise is our Purpose; it’s all-encompassing for clients, candidates and employees and brought to life by our values. ‘The Energize Way’ is our culture, it’s our DNA and keeps us focused on achieving our goals.

1% Better Every Day
Hard Work, Works
Think Big
Do The Right Thing
Enjoy The Journey

We're looking forward to hearing from you!

Listed Jobs

Company background Company brand
Company Name
Energize Group
Job Title
Cloud Engineer
Job Description
Job Title: Cloud Engineer Role Summary: Contract AWS Engineer with GenAI delivery expertise, responsible for building, iterating, and deploying production-ready GenAI solutions for premier clients starting in January. Expectations: Deliver multiple GenAI builds on time; work within defined architecture; ensure production impact and customer integration. Key Responsibilities: - Receive and translate defined GenAI use cases into production workloads. - Engineer prompts for AWS Bedrock, refining system instructions and iterating based on output quality. - Design, develop, and deploy GenAI chatbots and document analysis solutions. - Build agent logic and customize agent cores for integration into existing workflows. - Deploy entire solution stacks using AWS CDK. - Own integration and delivery within customers’ AWS environments. Required Skills: - Proven background as an AWS Engineer with hands‑on experience on Bedrock. - Experience with Anthropic/Claude models and prompt engineering in production. - Delivery of GenAI chatbots and/or document analysis to live environments. - Knowledge of AWS CDK, workflow integration, and end‑to‑end deployment. Required Education & Certifications: - Not specified (preferred AWS certifications such as Solutions Architect – Associate or Machine Learning – Specialty).
United states
Remote
19-12-2025
Company background Company brand
Company Name
Energize Group
Job Title
SAP Consultant
Job Description
Job Title: SAP PP/QM Support Consultant (Freelance) Role Summary: Provide first‑level SAP ECC support during a critical go‑live for Production Planning (PP) and Quality Management (QM). Deliver hands‑on assistance, troubleshoot functional issues, and produce user documentation while remaining onsite for the initial four‑week period. Expectations: - Contract starts 5 Jan 2025, 4‑week initial term with potential extension. - Onsite presence East Antwerp, 4–5 days per week; minimal remote work. - Work independently in a fast‑paced, on‑site environment. - Fluent in English; German or Dutch non‑essential. Key Responsibilities: - Manage day‑to‑day SAP ECC PP/QM operations during go‑live. - Diagnose and resolve functional issues related to planning, manufacturing, quality, and master data. - Support end‑users with daily tasks and create/update training documentation. - Escalate unresolved issues to technical teams and coordinate resolution. - Perform hyper‑care tasks, ensuring system stability and user satisfaction. Required Skills: - SAP ECC PP/QM functional expertise. - Prior SAP support or hyper‑care experience. - Go‑live or post‑go‑live support background. - Independent, self‑directed work capability in a fast‑paced setting. - Strong communication skills in English. Required Education & Certifications: - Bachelor’s degree in IT, Business, Engineering, or related discipline. - SAP certification in PP or QM preferred (e.g., SAP Certified Application Associate – SAP ERP Production Planning & Manufacturing).
Antwerp, Belgium
On site
30-12-2025
Company background Company brand
Company Name
Energize Group
Job Title
Mechanical Engineer
Job Description
**Job Title:** Robotics Mechanical Engineer (Contract with potential conversion) **Role Summary:** Design and develop structural mechanical components for advanced robotic systems, focusing on cost‑effective material selection, manufacturability, tolerance control, and serviceability. Work across concept, prototyping, and production phases, collaborating with cross‑functional engineering teams. **Expectations:** - Deliver robust, scalable designs that meet performance, cost, and lifecycle targets. - Produce accurate 3D CAD models and analysis reports. - Guide prototypes through validation to mass‑manufacturable solutions. - Communicate design intent clearly and collaborate with electrical, firmware, controls, and manufacturing engineers. **Key Responsibilities:** - Define load paths, functional interfaces, and service boundaries for robotic structures. - Create and iterate parametric 3D CAD assemblies (SolidWorks, NX, Creo, or CATIA). - Perform static load, stiffness, and basic fatigue analyses to inform material and geometry choices. - Establish tolerance strategies, applying precision only where critical. - Develop prototyping plans using CNC machining, additive manufacturing, and modular fixtures. - Transition validated designs to production‑ready formats (castings, extrusions, sheet metal, composites). - Incorporate cross‑industry best practices (automotive, aerospace, industrial automation) for vibration, thermal, and reliability challenges. - Document design decisions, analysis results, and manufacturing guidelines. **Required Skills:** - 3+ years designing mechanical systems for robotics/automation in a production or pre‑production environment. - Advanced proficiency in 3D CAD (SolidWorks, NX, Creo, or CATIA) with parametric modeling. - Knowledge of manufacturing processes: CNC machining, sheet metal, additive manufacturing. - Understanding of structural analysis fundamentals (static loads, stiffness, basic fatigue). - Ability to develop tolerance and assembly strategies for serviceability. - Strong collaboration and communication skills (written and verbal). **Required Education & Certifications:** - Bachelor’s degree in Mechanical Engineering, Robotics, or a closely related field. - No specific certifications required; relevant professional experience satisfies qualification.
Austin, United states
On site
Junior
16-01-2026
Company background Company brand
Company Name
Energize Group
Job Title
Machine Learning Engineer
Job Description
**Job title** Machine Learning Engineer – Deep Learning Manipulation **Role summary** Design, train, evaluate, and deploy deep learning models for dexterous manipulation on humanoid robots with high degrees of freedom. Own end‑to‑end learning pipelines, integrate tactile and proprioceptive sensing, and ensure real‑time, safe deployment on robotic hardware. Lead strategy and architecture in a startup‑style environment. **Expectations** - Develop production‑grade training and deployment processes. - Shape deep learning and manipulation strategy for the product. - Maintain rigorous evaluation frameworks in simulation and real‑world trials. - Collaborate across teleoperation, data, and autonomy teams. **Key responsibilities** - Architect and implement behavior‑cloning, vision‑language‑action, diffusion policy, and foundation‑model approaches for multi‑fingered grasping, long‑horizon tasks, tool use, and in‑hand manipulation. - Build curriculum‑learning pipelines that progress from simple contacts to complex manipulation. - Integrate tactile sensing and proprioception into closed‑loop learning systems. - Design and maintain scalable data collection, labeling, versioning, and cloud training infrastructure. - Deploy policies onto robotic hardware, ensuring real‑time performance, safety, and robust integration with control & sensor stacks. - Create evaluation frameworks to rigorously test policies in simulation and field trials, quantifying robustness and generalization. - Keep abreast of research and commercial advances; apply state‑of‑the‑art methods and develop novel architectures. - Mentor junior ML engineers and support team growth. **Required skills** - 3+ years applying deep learning to robotic manipulation. - Strong expertise in behavior cloning, vision‑language‑action models, diffusion policies, and foundation models. - Experience with large‑scale dataset curation, cloud‑based training (AWS, GCP, Azure, or equivalent). - Proficiency in Python (PyTorch/TensorFlow), version control (Git), and CI/CD. - Solid understanding of deploying neural networks to embedded/real‑time systems, safety, and control integration. - First‑principles problem‑solving mindset and strong software engineering practices. - Excellent communication and cross‑functional collaboration. **Nice‑to‑have** - Perception, point‑cloud, segmentation, or object‑detection experience in robotics. - Publications at top ML/robotics conferences. - Hands‑on deployment experience with large‑scale production robot systems. **Required education & certifications** - Master’s or PhD in Robotics, Computer Science, Electrical Engineering, or related field. - Relevant ML or robotics certifications a plus.
Texas, United states
On site
Junior
30-01-2026