Lead ML Engineer Hybrid (London/Belfast) Fulltime Hayward Hawk are currently recruiting for a Lead ML Engineer for their industry leading client. This is a very exciting opportunity to play a pivotal part in driving the implementation of advanced analytics. The Role: Serve as a subject-matter expert in machine learning, fintech, and RegTech, providing strategic technical insights and guidance to internal teams and external stakeholders. Participate in troubleshooting and managing production incidents, using root-cause analysis to recognize issue patterns and implement proactive solutions. Engage in agile ceremonies and foster continuous improvement through constructive feedback in code reviews, both internally and externally. Mentor and support team members, encouraging skill development and best practices across teams. Partner closely with Product Management and Engineering to define and deliver high-quality, scalable, and maintainable features in a fast-paced environment. Utilize tools like JIRA to effectively manage tasks through their life cycle and prioritize project workflows. Develop advanced solutions by collaborating with cross-functional teams, integrating multiple software products to address complex challenges. Break down intricate technical concepts into simple, practical abstractions that are easy for others to understand. Actively troubleshoot and resolve critical issues, including performance, security, and scalability challenges. Influence design processes by collaborating with Principal Engineers and Product Managers, ensuring alignment with business goals and technical requirements. Take the lead on establishing, promoting, and maintaining best practices to drive consistency and excellence within the team. Requirements: Proficient in Java with additional experience in Python. Extensive experience in building AI/ML-based analytics products for the FinTech and RegTech sectors. Expertise in Natural Language Processing (NLP), ML-Ops, and data pipeline management. Hands-on experience with ML frameworks and libraries, including TensorFlow, PyTorch, and scikit-learn. In-depth understanding of machine learning algorithms, statistical techniques, and data analysis methods. Strong skills in data processing, feature engineering, and model evaluation. Skilled in cloud platforms, especially Amazon Web Services (AWS) and Google Cloud. Experienced in working with model serving technologies like Triton Inference Server. Knowledgeable in containerized environments, including Docker, Helm, and Kubernetes. Experience in developing scalable ML applications and services on the cloud. Proficient in microservices and event-driven architectures. Familiar with Kafka, relational databases (RDBMS) like MySQL and PostgreSQL. Skilled in API design and development for robust system integration. Proficient in continuous integration and deployment (CI/CD) tools, including Bamboo and Argo CD. Experienced in Prometheus and Grafana for monitoring and observability. Skilled in using Amazon SageMaker and Jupyter Notebooks for model development and experimentation. Proficient in working with distributed systems and large-scale data processing. For further information on this role, or any other roles in Belfast, Dublin or across the UK, please apply via the link below or contact Katie Doyle in the strictest confidence.
29/10/2024
Full time
Lead ML Engineer Hybrid (London/Belfast) Fulltime Hayward Hawk are currently recruiting for a Lead ML Engineer for their industry leading client. This is a very exciting opportunity to play a pivotal part in driving the implementation of advanced analytics. The Role: Serve as a subject-matter expert in machine learning, fintech, and RegTech, providing strategic technical insights and guidance to internal teams and external stakeholders. Participate in troubleshooting and managing production incidents, using root-cause analysis to recognize issue patterns and implement proactive solutions. Engage in agile ceremonies and foster continuous improvement through constructive feedback in code reviews, both internally and externally. Mentor and support team members, encouraging skill development and best practices across teams. Partner closely with Product Management and Engineering to define and deliver high-quality, scalable, and maintainable features in a fast-paced environment. Utilize tools like JIRA to effectively manage tasks through their life cycle and prioritize project workflows. Develop advanced solutions by collaborating with cross-functional teams, integrating multiple software products to address complex challenges. Break down intricate technical concepts into simple, practical abstractions that are easy for others to understand. Actively troubleshoot and resolve critical issues, including performance, security, and scalability challenges. Influence design processes by collaborating with Principal Engineers and Product Managers, ensuring alignment with business goals and technical requirements. Take the lead on establishing, promoting, and maintaining best practices to drive consistency and excellence within the team. Requirements: Proficient in Java with additional experience in Python. Extensive experience in building AI/ML-based analytics products for the FinTech and RegTech sectors. Expertise in Natural Language Processing (NLP), ML-Ops, and data pipeline management. Hands-on experience with ML frameworks and libraries, including TensorFlow, PyTorch, and scikit-learn. In-depth understanding of machine learning algorithms, statistical techniques, and data analysis methods. Strong skills in data processing, feature engineering, and model evaluation. Skilled in cloud platforms, especially Amazon Web Services (AWS) and Google Cloud. Experienced in working with model serving technologies like Triton Inference Server. Knowledgeable in containerized environments, including Docker, Helm, and Kubernetes. Experience in developing scalable ML applications and services on the cloud. Proficient in microservices and event-driven architectures. Familiar with Kafka, relational databases (RDBMS) like MySQL and PostgreSQL. Skilled in API design and development for robust system integration. Proficient in continuous integration and deployment (CI/CD) tools, including Bamboo and Argo CD. Experienced in Prometheus and Grafana for monitoring and observability. Skilled in using Amazon SageMaker and Jupyter Notebooks for model development and experimentation. Proficient in working with distributed systems and large-scale data processing. For further information on this role, or any other roles in Belfast, Dublin or across the UK, please apply via the link below or contact Katie Doyle in the strictest confidence.
Computer Futures - London & S.E(Permanent and Contract)
Farnborough, Hampshire
I am supporting a company in the defence sector that is on a mission to develop state-of-the-art Laser detection and protection equipment. They are committed to safeguarding users from hostile Laser threats by offering advanced protection from both visible and invisible Laser hazards. You will be joining a team of 15, with expansive growth plans in place, which has presented the opportunity for a Senior Electronics Engineer to join their forward thinking Electronics team, reporting in to the Head Of Hardware. This is a very flexible role with lots of hybrid working options available. Unfortunately, this opportunity DOES NOT include visa sponsorship. The Role This role requires someone with strong technical skills, experience, and a passion for innovation. As a key member of our multidisciplinary development team, you will help shape the future of their products and company. As an Electronics Engineer, the successful candidate will have a well-rounded skill-set along with strong technical knowledge and a positive approach to problem solving. Responsibilities * Translate ideas, requirements, and engineering specifications into solid engineering solutions. * Provide accurate time and cost estimates and adhere to project plans. * Develop electronic sub-system solutions as part of an overall system that may include optics, mechanics, and software. * Develop test strategies and document findings for both electronic aspects and entire systems/products. * Support manufacturing and other departments during development and production phases. * Manage all aspects of the product life cycle from conception to end-of-life, including manufacturing support. * Liaise with suppliers such as layout specialists and CMOs. * Perform additional tasks as identified by the Head of Hardware. Qualifications * Degree level or equivalent in Electronic Engineering. * Demonstrable practical design and construction experience. Skills and Experience * Competent in both analogue and digital electronics engineering. * Experience in photonics systems development is highly desirable but not essential. * Proficient in ECAD tools for schematic capture and PCB layout. * Skilled in circuit simulation and prototype building using through-hole or SMD technology. * Proficient in MS Office tools such as Word and Excel. * Ability to program microcontrollers and experience with Assembler, C, or similar languages. * Knowledge of programmable logic is desirable but not essential. * Familiarity with ISO 9001 and the company QMS is desirable. * Ability to produce high-quality engineering documentation. * Experience in the defence/aerospace sector is desirable but not essential. Qualities * Proactive and initiative-driven. * Clear and concise communicator, both verbally and in writing. * Collaborative team player. * Strong problem-solving skills and a hands-on approach. * Exceptional interpersonal skills with the ability to build relationships at all levels. * Committed to delivering impactful solutions for our customers. * Demonstrates technical excellence and innovative thinking. * Acts with honour and integrity. If you feel that you have the necessary skills and experience to excel in this Electronics Engineer role, please send your CV across. To find out more about Computer Futures please visit our website. Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy
29/10/2024
Full time
I am supporting a company in the defence sector that is on a mission to develop state-of-the-art Laser detection and protection equipment. They are committed to safeguarding users from hostile Laser threats by offering advanced protection from both visible and invisible Laser hazards. You will be joining a team of 15, with expansive growth plans in place, which has presented the opportunity for a Senior Electronics Engineer to join their forward thinking Electronics team, reporting in to the Head Of Hardware. This is a very flexible role with lots of hybrid working options available. Unfortunately, this opportunity DOES NOT include visa sponsorship. The Role This role requires someone with strong technical skills, experience, and a passion for innovation. As a key member of our multidisciplinary development team, you will help shape the future of their products and company. As an Electronics Engineer, the successful candidate will have a well-rounded skill-set along with strong technical knowledge and a positive approach to problem solving. Responsibilities * Translate ideas, requirements, and engineering specifications into solid engineering solutions. * Provide accurate time and cost estimates and adhere to project plans. * Develop electronic sub-system solutions as part of an overall system that may include optics, mechanics, and software. * Develop test strategies and document findings for both electronic aspects and entire systems/products. * Support manufacturing and other departments during development and production phases. * Manage all aspects of the product life cycle from conception to end-of-life, including manufacturing support. * Liaise with suppliers such as layout specialists and CMOs. * Perform additional tasks as identified by the Head of Hardware. Qualifications * Degree level or equivalent in Electronic Engineering. * Demonstrable practical design and construction experience. Skills and Experience * Competent in both analogue and digital electronics engineering. * Experience in photonics systems development is highly desirable but not essential. * Proficient in ECAD tools for schematic capture and PCB layout. * Skilled in circuit simulation and prototype building using through-hole or SMD technology. * Proficient in MS Office tools such as Word and Excel. * Ability to program microcontrollers and experience with Assembler, C, or similar languages. * Knowledge of programmable logic is desirable but not essential. * Familiarity with ISO 9001 and the company QMS is desirable. * Ability to produce high-quality engineering documentation. * Experience in the defence/aerospace sector is desirable but not essential. Qualities * Proactive and initiative-driven. * Clear and concise communicator, both verbally and in writing. * Collaborative team player. * Strong problem-solving skills and a hands-on approach. * Exceptional interpersonal skills with the ability to build relationships at all levels. * Committed to delivering impactful solutions for our customers. * Demonstrates technical excellence and innovative thinking. * Acts with honour and integrity. If you feel that you have the necessary skills and experience to excel in this Electronics Engineer role, please send your CV across. To find out more about Computer Futures please visit our website. Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy
SAP DMC SME - Automotive Whitehall Resources currently require an experienced SAP DMC SME to work with a key client *Please note this is inside IR35 and will be hybrid 50/50 in Cheshire* Job Summary: We are seeking an experienced Subject Matter Expert (SME) in SAP Digital Manufacturing Cloud (DMC) with a strong background in Manufacturing Execution Systems (MES) and Manufacturing Operations Management (MOM) for the automotive industry. The ideal candidate will provide expert guidance and leadership in implementing, optimizing, and supporting SAP DMC solutions to enhance automotive manufacturing operations. Key Responsibilities: . Serve as the primary technical and functional expert for SAP DMC implementations and integrations in automotive manufacturing environments. . Analyze current automotive production processes and identify opportunities for improvement using SAP DMC capabilities. . Design and configure SAP DMC solutions to meet specific automotive manufacturing requirements, including vehicle assembly, powertrain production, and component manufacturing. . Develop and maintain solution architectures that integrate SAP DMC with other systems used in automotive manufacturing (ERP, PLM, Quality Management, Supply Chain Management, etc.). . Provide technical leadership and mentorship to project teams during SAP DMC implementations in automotive plants. . Conduct workshops and training sessions for end-users and technical staff on SAP DMC functionalities specific to automotive manufacturing. . Troubleshoot complex issues related to SAP DMC in automotive production environments and provide expert-level support. . Stay current with the latest developments in SAP DMC, MES, and MOM technologies, as well as trends in automotive manufacturing. . Collaborate with SAP and other technology partners to resolve product-related issues and influence product roadmaps to better serve the automotive industry. . Develop best practices, guidelines, and documentation for SAP DMC implementations and usage in automotive manufacturing. . Participate in pre-sales activities, including solution demonstrations and proposal development for automotive clients. . Ensure SAP DMC implementations comply with automotive industry standards and regulations (eg, IATF 16949, VDA 6.3). Required Qualifications: . Bachelor's degree in Computer Science, Engineering, or a related field. . Minimum of 8 years of experience in MES/MOM implementations in the automotive industry, with at least 3 years of hands-on experience with SAP DMC. . In-depth knowledge of SAP DMC modules, including Production Operations, Plant Connectivity, and Manufacturing Analytics, as applied to automotive manufacturing. . Strong understanding of automotive manufacturing processes, including assembly, body shop, paint shop, and powertrain production. . Experience in integrating SAP DMC with SAP S/4HANA and other SAP and non-SAP systems commonly used in the automotive industry. . Proficiency in data modelling, API integrations, and cloud technologies. . Excellent problem-solving skills and ability to translate complex technical concepts to non-technical stakeholders in the automotive sector. . Strong communication and leadership skills, with the ability to influence decision-making at all levels of an automotive organization. Preferred Qualifications: . Master's degree in a relevant field. . SAP DMC certifications. . Experience with other MES/MOM systems used in automotive manufacturing (eg, Siemens, Rockwell, Apriso). . Knowledge of MESA MES/MOM models, ISA-95 standards, and automotive-specific standards (eg, IATF 16949, VDA 6.3). . Familiarity with lean manufacturing principles and Industry 4.0 concepts in automotive production. . Experience with quality management systems and traceability requirements in automotive manufacturing. . Understanding of connected car technologies and their impact on manufacturing processes. . Familiarity with agile project management methodologies. All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description. Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.
28/10/2024
Contractor
SAP DMC SME - Automotive Whitehall Resources currently require an experienced SAP DMC SME to work with a key client *Please note this is inside IR35 and will be hybrid 50/50 in Cheshire* Job Summary: We are seeking an experienced Subject Matter Expert (SME) in SAP Digital Manufacturing Cloud (DMC) with a strong background in Manufacturing Execution Systems (MES) and Manufacturing Operations Management (MOM) for the automotive industry. The ideal candidate will provide expert guidance and leadership in implementing, optimizing, and supporting SAP DMC solutions to enhance automotive manufacturing operations. Key Responsibilities: . Serve as the primary technical and functional expert for SAP DMC implementations and integrations in automotive manufacturing environments. . Analyze current automotive production processes and identify opportunities for improvement using SAP DMC capabilities. . Design and configure SAP DMC solutions to meet specific automotive manufacturing requirements, including vehicle assembly, powertrain production, and component manufacturing. . Develop and maintain solution architectures that integrate SAP DMC with other systems used in automotive manufacturing (ERP, PLM, Quality Management, Supply Chain Management, etc.). . Provide technical leadership and mentorship to project teams during SAP DMC implementations in automotive plants. . Conduct workshops and training sessions for end-users and technical staff on SAP DMC functionalities specific to automotive manufacturing. . Troubleshoot complex issues related to SAP DMC in automotive production environments and provide expert-level support. . Stay current with the latest developments in SAP DMC, MES, and MOM technologies, as well as trends in automotive manufacturing. . Collaborate with SAP and other technology partners to resolve product-related issues and influence product roadmaps to better serve the automotive industry. . Develop best practices, guidelines, and documentation for SAP DMC implementations and usage in automotive manufacturing. . Participate in pre-sales activities, including solution demonstrations and proposal development for automotive clients. . Ensure SAP DMC implementations comply with automotive industry standards and regulations (eg, IATF 16949, VDA 6.3). Required Qualifications: . Bachelor's degree in Computer Science, Engineering, or a related field. . Minimum of 8 years of experience in MES/MOM implementations in the automotive industry, with at least 3 years of hands-on experience with SAP DMC. . In-depth knowledge of SAP DMC modules, including Production Operations, Plant Connectivity, and Manufacturing Analytics, as applied to automotive manufacturing. . Strong understanding of automotive manufacturing processes, including assembly, body shop, paint shop, and powertrain production. . Experience in integrating SAP DMC with SAP S/4HANA and other SAP and non-SAP systems commonly used in the automotive industry. . Proficiency in data modelling, API integrations, and cloud technologies. . Excellent problem-solving skills and ability to translate complex technical concepts to non-technical stakeholders in the automotive sector. . Strong communication and leadership skills, with the ability to influence decision-making at all levels of an automotive organization. Preferred Qualifications: . Master's degree in a relevant field. . SAP DMC certifications. . Experience with other MES/MOM systems used in automotive manufacturing (eg, Siemens, Rockwell, Apriso). . Knowledge of MESA MES/MOM models, ISA-95 standards, and automotive-specific standards (eg, IATF 16949, VDA 6.3). . Familiarity with lean manufacturing principles and Industry 4.0 concepts in automotive production. . Experience with quality management systems and traceability requirements in automotive manufacturing. . Understanding of connected car technologies and their impact on manufacturing processes. . Familiarity with agile project management methodologies. All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description. Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.